Positioning & message-market fit
Defining ICPs, customer pain, differentiated value, competitive context, proof, and outcome-led messaging that makes products understandable and compelling.
50%
Best tweets about Product Marketing
50 Best Tweets About Product Marketing (2026)
Discover the best tweets about product marketing, including positioning, messaging, launches, research, adoption, enablement, and competitive strategy.
Product positioning, messaging, customer research, launches, adoption, competitive analysis, sales enablement, and measurable outcomes.
- Creators
- 44
- Updated
Original Xholic analysis
What 50 top Product Marketing posts reveal
The conversation emphasizes positioning before promotion: define a specific buyer, articulate a differentiated and provable outcome, test language with customers or an audience, and treat launches as continuing distribution and learning work. The highest-scoring GTM example also foregrounded enablement and communicating product ROI.
- Dominant tone
- Positive
- Median score
- 9.76
- Leading format
- Opinion
- Recent posts
- 42%
56% of posts
All-time engagement
46% of posts
Published in 90 days
Conversation map
The themes creators return to
Launch strategy & momentum
Building awareness before launch, coordinating launch assets and amplification, timing releases, collecting feedback, and sustaining promotion after launch day.
30%
Customer research & feedback loops
Learning directly from users, social listening, founder-led audience building, message testing, win/loss insight, and iterative validation before scaling.
28%
Distribution & channel strategy
Choosing and operationalizing channels such as outbound, social, communities, influencers, partnerships, marketplaces, existing platforms, and multi-channel repurposing.
26%
Growth experiments & conversion
Testing hooks, angles, audiences, creatives, landing pages, onboarding, offers, and CTAs to improve acquisition and conversion.
22%
Product-led marketing
Treating product experience, product decisions, customer outcomes, and built-in shareability as the foundation of marketing and growth.
20%
Product marketing operations
Structuring PMM, growth, enablement, content, and communications functions; creating launch workflows and using AI to automate marketing work.
14%
Sales enablement & go-to-market
Equipping sales teams, building pipeline, segmenting deals, expanding markets, hiring GTM talent, and connecting product narratives to revenue.
6%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 28
- Median reposts
- 1
- Median replies
- 6
- Median views
- 1.3K
Posts with media make up 42% of this collection. Their median all-time score is 8.90, compared with 10.4 for text-only posts.
Format mix
- Opinion 46% · score 6.62
- List 28% · score 16.3
- Case Study 14% · score 10.2
- Announcement 8% · score 15.7
Consensus and debate
Where creators agree, and where they do not
Shared view
Positioning precedes promotion
Posts repeatedly argue that marketing cannot compensate for an undefined audience or unclear value; they recommend specifying the customer, pain, differentiation, and proof before scaling channels.
Shared view
Outcomes beat feature narratives
Several posts advise framing the improved customer state or urgent problem rather than leading with technical features, integrations, or AI labels.
Shared view
Product and marketing should inform each other
Several posts argue against treating marketing as a post-build handoff: messaging, product decisions, distribution, and customer experience are presented as connected work.
Shared view
Launches require pre- and post-launch work
Launch guidance emphasizes building awareness, preparing conversion assets and analytics, gathering feedback, and continuing promotion after launch day rather than relying on a single announcement.
Open debate
Validate quietly or build publicly
One view advises securing and speaking with at least 100 users before heavily marketing a launch; another treats public founder content as an ongoing language and audience test before the product is complete.
Open debate
Speed and launch readiness
A Web3-focused post prioritizes speed over perfection to preserve timing and feedback, while a launch checklist calls for tested landing pages, analytics, assets, and planned follow-up before publishing.
Open debate
Product ownership of messaging versus dedicated PMM
One post argues product management and product marketing should be one job; another recommends PMM as an early specialist responsible for the story, enablement, segmentation, and launches.
What performs
Patterns behind standout posts
Highest-scoring outlier covered GTM operations
The highest-scoring tweet, with an all-time score of 1558.18, described restarting GTM through earlier enablement, ROI communication, outbound, market expansion, and deal-quality decisions.
A launch-operations case study was an outlier
A case study about AI-assisted pre-launch legal review had an all-time score of 685.76. Separately, the launch-strategy-and-momentum theme had a 9.912 median all-time score.
Text posts had the higher median score
Media appeared in 21 of 50 tweets (42%). The median all-time score for text posts was 10.377, compared with 8.903 for posts with media.
Lists had stronger median performance than opinions
List posts had a 16.29 median all-time score, compared with 6.619 for opinion posts. The list examples include GTM changes, launch preparation, and marketing-team design.
Statistical standouts
- View standout post 1 Score 1558.2 · 159.65× median
- View standout post 2 Score 685.8 · 70.26× median
- View standout post 3 Score 478.2 · 49× median
- View standout post 4 Score 88.4 · 9.05× median
- View standout post 5 Score 54.2 · 5.56× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Alexa | Startup founder
@alexabelonix
2 posts
-
2. Chris Cunningham
@ChrisClickUp
2 posts
-
3. Hardik Gohil
@GohilHardy
2 posts
-
4. Nick Theriot
@nicktheriot_
2 posts
-
5. Pe:p Laja
@peeplaja
2 posts
-
6. Sahib
@seeksahib
2 posts
Creator concentration remained low
The set includes 44 creators, and the top five accounted for 20% of placements, indicating that no small group supplied most placements.
Repeat contributors offered distinct operating lenses
Among repeat contributors, Alexa describes founder content as research, Hardik focuses on launch preparation and pre-launch visibility, Nick writes about positioning in skeptical markets, and Pe:p emphasizes PMM fundamentals in discussions of AI ROI.
Operational and product examples illustrate the discussion
The evidence includes an ElevenLabs GTM retrospective, a Supabase positioning example, and a case study of Anthropic’s pre-launch legal-review workflow, alongside broader opinion posts.
Since the previous snapshot
What changed since Aug 12, 2026
- 72% of the selected posts remained.
- The creator count changed by -1.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Product Marketing tweets
Top Product Marketing tweets from 44 creators
Ranked 01–50
- 01
@Carles_Reina ·
If I had to restart @ElevenLabs GTM from scratch, these are the things that I would change 🖊️ - Hire quicker. I was alone selling for the first 9 months because I believed we didn't have PMF. Main reasons: the AI tourist external mantra of 2023, and the uphill battle convincing everyone to hire more GTM (Sales development, Sales, Customer Success) because we were still mostly PLG / self-service. The hiring constraint lasted until earlier this year when we boosted our team to meet demand. - Build an enablement team earlier. Sales enablement has such an important role in an org, and we mostly think about it when we hire a lot of people. The reality is that we need Enablement earlier due to the speed of product iteration. - Open more markets. The results from Uber v Lyft operating models played a key role in deciding to open markets early, but I would triple down on it if we were to start over. - Have more big bets. Similar to VCs, you only need 1 big bet to work in order to generate Alpha. We could have executed more big bets if we had had a single person owning & iterating on them. Former successful founder profile with drive and speed. - Be more vocal about product ROI & our success. People buy from people, and companies buy based on success & ROI. In AI, we've all been slow showing ROI. This should be the key number when you start a conversation. - Hire senior sellers. In startups, we've been told that culture is everything and someone with +25y experience may struggle to fit in. This is bullshit. The experience, connections and drive +25y sellers bring is crazy. We have a bunch today, but I would hire many more earlier. - Reduce cash commissions and replace them with more equity. Cash is king, but Equity is queen. Queens also rule countries, so why not make Equity the dominant one in GTM? - Open more offices. We are a remote-first company, but our customers are everywhere, and employees want to meet each other. I would open more offices to be embedded in markets quicker. - Fun brand. Brand perception is 33% of the work. Building a fun brand adds quickly. - Outbounds outbounds outbounds. We waited too long to migrate to an Outbound organisation. I would do it from day 1 now. - Pipeline construction with more whales. The ideal pipeline needs to have a combo of segments to reduce risk, improve results and provide liquidity. We waited too long to pitch & bring whales. - Not all deals are good deals. We, sellers, want to close a lot of ARR, but it is important to split early on between good vs bad deals. Thank you to Tomasz Gmur for asking how I would do GTM again!
- 02
@itsolelehmann ·
my new favorite hobby is reading about Anthropic's internal AI workflows this one especially caught my attention: anthropic's ENTIRE legal review process is now handled by just 1 Claude system a single non-technical lawyer vibe-coded and it cut turnaround time by 80% here's how 1 lawyer is doing the job of an entire legal review team: the problem: at most companies, before anything goes live publicly, the legal team has to review it first. landing pages, ad copy, blog posts, push notifications, emails. basically anything that could get the company in trouble if the wording is wrong. at anthropic, the night before a product launch, marketing would send all of this to legal saying "please review today, we go live tomorrow." legal then had to: 1. open every single doc and read it word by word 2. flag anything that could be a problem and leave comments 3. send it back to marketing and wait for them to revise 4. review the revisions and repeat this usually went two or three rounds and took 2-3+ days to clear a single launch. every product launch at a $380 billion company was being held up by this back-and-forth. so mark pike, anthropic's associate general counsel with zero coding experience, decided to fix it. he built a self-serve legal review tool pinned directly in slack. 1. marketers now paste their content into the tool 2. then the AI reads the entire thing and checks it against anthropic's actual legal guidelines. so if a landing page says "claude is the most secure AI on the market," the tool flags it as an overstated claim. that's the kind of language that could trigger a lawsuit because anthropic would have to prove it's true in court. every issue gets assigned a risk level: low, medium, or high. low might be a missing trademark symbol high might be a claim that could create real legal liability. but it doesn't just tell you what's wrong. it'll actually tell you exactly how to fix it. 1. so the marketer reads the flagged issues 2. makes the fixes themselves 3. and cleans up the content before a lawyer ever touches it. that's the key shift: the legal team went from reviewing raw content from scratch to only seeing stuff that's already been pre-screened, pre-fixed, and organized by risk level. by the time pike looks at it, all the obvious problems are already gone. he's only spending time on the things that actually require legal judgment. pike still personally reviews everything before it goes live. his quote: "i still read the blog post. i'm still reviewing the work." but the 80% of the work that used to be catching obvious mistakes and going back and forth on easy fixes? it's all handled now before it ever hits his desk. the reason the AI review is actually good enough for lawyers to trust: pike didn't just tell claude "review marketing content." he wrote out his actual review guidance and stored it as a skill: what counts as an overstated claim, what needs a trademark symbol, what types of language create liability, what statistics need sourcing, etc it's pike's expertise and the team's accumulated guidance, codified into a system that runs the same checks they would a $380 billion company's pre-launch legal review. automated by one lawyer who had never written a line of code lol truly amazing
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- 03
@tfadell ·
Most tech companies break out product management and product marketing into two separate roles: Product management defines the product and gets it built. Product marketing wires the messaging- the facts you want to communicate to customers- and gets the product sold. But from my experience that's a grievous mistake. Those are, and should aways be, one job. There should be no separation between what the product will be and how it will be explained- the story has to be utterly cohesive from the beginning. Your messaging is your product. The story you're telling shapes the thing you're making. I learned story telling from Steve Jobs. I learned product management from Greg Joswiak. Joz, a fellow Wolverine, Michigander, and overall great person, has been at Apple since he left Ann Arbor in 1986 and has run product marketing for decades. And his superpower- the superpower of every truly great product manager- is empathy. He doesn't just understand the customer. He becomes the customer. So when Joz stepped into the world with his next-gen iPod to test it out, he fiddled with it like a beginner. He set aside all the tech specs- except one: battery life. The numbers were empty without customers, the facts meaningless without context. And, that's why product management has to own the messaging. The spec shows the features, the details of how a product will work, but the messaging predicts people's concerns and finds way to mitigate them. - #BUILD Chapter 5.5 The Point of PMs
- 04
@romanbuildsaas ·
If you want to make money in SaaS, I think there are 3 major paths. Option 1: Be a genius, a visionary, or incredibly early. You understand where the market is going before everyone else and position yourself ahead of the wave. Think Cursor, Lovable, Base44. I call this buying a lottery ticket. If you get it right, the upside is insane. But for every company that catches the wave at exactly the right moment, how many founders spend years betting on a future that never arrives? High risk. Massive reward. Option 2: Enter a market that already makes money. Pick a proven market. Customers are already paying. Competitors are already making millions. Demand is already validated. Everyone will tell you: "It's a red ocean. Too competitive." I actually think that's a good sign. You don't need to invent demand. You need an unfair advantage that helps you take a piece of existing demand. For Gojiberry(dot)ai, we had two: > A different product approach focused on high-intent leads. > A distribution advantage that helped us get the product in front of a lot of people. A red ocean where you know how to differentiate AND distribute can be an incredible cash machine. Competition isn't always a reason to stay away. Sometimes it's proof that there's money on the table. Option 3: Take something that already works and verticalize it. Find a successful product or model and apply it to a specific niche. Instead of building another Lovable, build the "Lovable for blue-collar businesses." Instead of reinventing the category, you specialise it. This can work extremely well, but there's one question you need to answer: Why hasn't someone already won this niche? Sometimes the answer is "nobody executed properly yet." Sometimes the answer is "because the niche doesn't actually need it." Most founders I meet seem obsessed with Option 1 and I was too. After trying it many times, I eventually realised something: I'm probably not the once-in-a-generation genius who's going to predict the next massive market and build a $5B company in two years. And that's okay. Never underestimate yourself. But don't overestimate yourself either. You don't need to predict the future to build a great SaaS business. Option 2 is the most repeatable strategy: > Find a market where people are already spending money. > Understand why the existing players win. > Then attack it with your own advantages in product, positioning, distribution, or execution. Sometimes the biggest opportunity is sitting in the middle of a very profitable red one.
- 05
@daviefogarty ·
How to launch an 8 figure ecom product the right way in 2026: 1. If nobody can see your product being used in public (or in a day in the life reel), it won't spread. 2. One product, one obsession. Don’t diversify until you've exhausted the first one. 3. Your product is your growth engine, not Facebook. 4. If only your old ads keep working and every new angle keeps dying, the product could have peaked. 5. Gross margin compression has killed more of my brands than bad new product launches ever did. 6 A second product will not fix a first product that’s underperforming. 7. Product timing windows are real. Miss them, and no amount of ad spend saves you. 8. Build products that work on Facebook without needing education. 9. Track creative fatigue monthly, not quarterly.
- 06
@brettberson ·
Supabase now has more than 7 million developers building on it. It all started with a tagline change. @kiwicopple changed @supabase's tagline to "Open-source Firebase alternative." Someone posted it to Hacker News the next day. It shot to the top. He hadn't shipped a single new feature. The product was identical to the days before. His takeaway: "Product-market fit is often just product-positioning fit. Before you pivot the product, try pivoting the words. My full conversation with Paul on his path to product market fit.
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- 07
@JosephKChoi ·
peptides is probably the fastest growing category in consumer apps rn this one just made $100,000 in its first 70 days, then $200,000 in the next 30 days. and still growing got @Cedric_Roberge to share the entire marketing strategy on the pod. full video 👇 0:00 - The $100K Strategy: Achieving Six-Figure App Revenue in 70 Days 1:12 - Growth Engine Alpha: Inside the Consumer Club and Developer Tech Stack 2:25 - Market Positioning: Solving the Tracking Gap in the Exploding Peptide Space 3:57 - Pioneering a Trend: Navigating Early Concept Phase to Product Launch 5:30 - Organic Amplification: Building a High-Engagement Influencer Retainer System 6:35 - Performance Optimization: Transitioning Organic TikTok Winners into Paid Meta Ads 7:55 - Tracking Metrics: Acquisition Costs and Analyzing Dashboard Conversion Rates 9:33 - High-Converting Formats: Analyzing Organic Slideshows vs. Traditional Talking Head UGC 11:31 - User Journey Architecture: Mapping the Flow from For You Page to App Store Downloads 13:38 - Residual Traffic Networks: Monetizing Link-in-Bio Real Estate via Private Creator Communities 15:08 - Influencer Deal Frameworks: Retainers, Contract Logistics, and Milestone Bonuses 18:11 - Low-Risk Testing: Getting 20,000 Total Views for $200 Monthly Retainers 18:36 - Creative Freedom Guide: Structuring Asset Briefs Without Restricting Creators 20:04 - Operations Architecture: Standardizing Outreach Playbooks for Rapid Team Delegation 21:31 - Affiliate Incentive Systems: Boosting Content Output with Strategic Revenue Splits 22:58 - Interface UX Audit: High-Converting Paywalls, AI Insights, and Onboarding Flows 26:33 - Finding the Pain Point: Understanding Why Users Will Pay for Convenience and Safety 28:36 - Age-Gated Conversion: Customizing User Journeys for Gen Z vs. Mature Audiences 31:16 - Listening to the Market: Rapid Iteration of Syringe Calculators and Core Tracker Features 32:22 - Product Pruning: Knowing Which Underutilized Features to Remove 33:48 - Automated Feedback Loops: Collecting Multi-Channel User Insights Weekly 34:59 - Structuring the Company: Scaling Outreach Hires and Marketing Manager Positions 36:29 - Quality Control Framework: Vetting Creator Content Before It Goes Live 36:50 - Founder's Background: Translating High School Esports Management into App Growth 38:42 - Bootstrapping & Equity: Securing Angel Investment and Insane Tech Talent 41:17 - Scaling Up Spend: Static Creative Strategies, Meta Compliance, and Breaking Top 100 Rankings 44:33 - Fraud & View Bot Auditing: Vetting Real Engagement Against Fake Metrics 46:50 - Paid Ad Deep Dive: Why a Cluttered Static Graphic is Beating Clean Video Ads 50:06 - Platform Constraints: Why TikTok Rejects Peptide Ads While Meta Succeeds 51:29 - Outro: Post-Launch Plans, Future Hiring, and Final Growth Alpha Breakdown
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- 08
@Johnsjawn ·
Friend texted me: “If you were building a marketing team from the ground up, who are your first 3-5 hires?” My take: - PMM (best blend of strategic + execution, becomes hub for everything. owns the story; positioning + messaging, pitch/website, sales enablement, segmentation, product launches, and helps shape product direction. I’m biased but whenever I ask others they say PMM is best first hire. Many founders undervalue this and regret it later.) - Growth Marketer/PM (owns all digital channels, including in-product. Expands early traction, experiments to find new levers. very execution-heavy.) - Field Marketer or Community (depends on the company but events, content, forums to grow early customers and create magnets for new ones.) After that it really depends on the company and product... - Creative (identity + assets + ideas; if strong design founder or early hire prod designer that spends 50% of time on the brand then maybe good without FTE.) - Content creator (fuel to the channel engine, adjusted to the biz. customer stories, social / video, research and thought leadership.) - Program specific owner (go deep on a channel that's driving direct ROI; startup programs, influencer, BD style partnerships, affiliates, champions, etc.) - Comms / Storytelling (a point on all things corp and exec comms, new media, PR as needed; can own other things like social and corp marketing and campaigns as you build) Keep flat. The first 3-4 you don't need a head of marketing. They should report somewhere into founding team. Ultimately building toward 3 strong pillars and if you have those may not need a traditional CMO at all: - PMM - Growth / Demand - Comms / Storytelling
- 09
@GohilHardy ·
Launching on X soon? Don't hit Post before checking these ☐ Profile optimized ☐ Clear bio ☐ Product link added ☐ Pinned post updated ☐ Landing page tested ☐ Analytics installed ☐ Screenshots/GIFs ready ☐ 20+ meaningful replies before launch ☐ Launch post drafted ☐ First comment prepared ☐ Friends/builders to notify ☐ Follow-up content planned Most launches fail before they launch. Nobody knew they existed.
- 10
@Lukealexxander ·
Since money Twitter is back here’s what’s happened over the last few years Built and scaled closer cartel to millions of dollars a year. Trained 5000 sales reps. Got bored of sales end of 2024. Wanted something bigger. Started @Kendosalesai start of 2025. AI sales manager and sales enablement platform built off of our knowledge training reps and managing sales teams. It’s grown quickly, hit $83k in March and about $1M ARR so far. Product has come a long way and we’re selling to proper enterprise customers. Learned how to build software, went all in on AI, have taught it to a few people here and there. Building true agentic sales products now with an amazing dev team. The goal is to build Kendo to $1M/month ARR and go from there. Software is the first time in a long time I feel like I can truly unleash my creativity and natural skills and feels like a great fit. Also have completely killed the old version of myself. I’ve studied and gotten much closer to my faith and bear the fruit of that choice now. The Luke you used to know is gone. Was very sad when my algo became slop and missed this special place we used to share. More software AI and faith content coming soon. We’re in founder mode now. Thanks for catching up, let me know what you’ve been up too as well 🙏🏽
- 11
@Kappaemme1926 ·
CODEX SKILL FOR TURNING LANDING PAGES INTO POWER POINT! I built a Codex skill that turns any landing page into a polished PowerPoint. Point Codex at your site and it creates: -> concise product story -> landing page evidence + screenshots -> up to 8 clean slides -> product positioning -> feature + audience breakdown -> conversion path summary -> PPTX, PDF, and browser preview Useful for pitch decks, client summaries, launch explainers, SaaS walkthroughs, and quick product briefs. Install: `npx --yes landing-to-powerpoint@latest` 100% open source. Link in bio.
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- 12
@AlexIsBuilding ·
The harsh truth as a builder in this space Is that you probably shouldn't market your product launch too hard. You have no idea if people even like your product. You should get at least 100 users first, 1 by 1, hand to hand, TALK TO THEM, Make sure they like it, and THEN pour gasoline on top of that fire to grow it. Most brands in Web3 spend 5-6 figures on their launch day, Only to realise that the signup is too hard, or people don't actually like it. You can find this out for free by just talking to your users, knowing you've found PMF, And THEN paying to grow.
- 13
@pmitu ·
👉 10 Marketing questions for builders BEFORE coding: 1. Who is your target audience? 2. Which segment of TA will you start with? 3. What is the one problem you’re solving? 4. What is the main value your product provides to your TA? 5. How will you promote the product? 6. What is your primary marketing channel? 7. Where will you find your first users? 8. What selling points will you use? 9. How are you better than your competitors? 10. What makes your product unique? Bookmark this list 🔖 → get answers → vibe code MVP
- 14
@Iamceejaymac ·
Yesterday, Spenda announced $ETH deposits on Robinhood Chain. Most people saw another product update. I saw three marketing lessons every startup should remember. 1. Distribution is part of the product: A feature doesn't create growth. But getting that feature in front of the right people does. A lot of startups spend months building features, then spend minutes thinking about how people will discover them. But the best teams think about both. 2. Market outcomes, not technology: Most users don't care about integrations tbh. They care about what those integrations let them do. From my experience, the best product marketing answers one question: «"What's better for me today than it was yesterday?"» So, features explain. But outcomes persuade. 3. Every launch is a chance to reinforce trust: One announcement creates awareness. Consistent shipping creates confidence. The products people recommend aren't always the ones with the biggest launches. They're the ones that consistently give users a reason to come back. One thing every founder should ask after shipping isn't: «"Did we build it?"» It's: «"Will the right people discover it, understand it, and care?"» Because marketing doesn't begin after the product is built. Marketing is the system that makes a great product impossible to ignore.
- 15
@businessbarista ·
Except for a few edge cases, slapping "AI" all over your website is now a negative signal. In the early hype cycle, let's say within a year of ChatGPT release, anchoring your product & marketing to AI made a ton of sense. It was super zeitgeisty and there wasn't a ton of competition yet, so you could earn a lot of cheap eyeballs by trend-jacking. Now, the world looks very different: - There are 60,000+ AI startups - People are jaded by many "AI" companies that are wrappers at best, snake oil salesman at worst - People are numb, AI is now the opposite of novel What does this mean? Lead with novel outcomes to customers' hair on fire problems, and if you're going to tattoo your marketing with AI, just know you're fighting embedded skepticism that's looking for every reason to believe you're all talk.
- 16
- 17
@nicktheriot_ ·
My 8 rules for positioning products in skeptical markets (hair growth, weight loss, anti-aging): 1. Align with existing beliefs, don't fight them ("manage pain" vs "cure pain") 2. Use AI animations or Shutterstock to explain mechanism 3. Compare to expensive alternative (position as affordable, not cheap) 4. Show visual product differentiation (wireless vs wired = obvious upgrade) 5. Switch voice narrator → user testimonial (creates dynamic) 6. For lower-funnel: "Spot the fake" ads (only works for viral products with large TAM) 7. Never make false claims without third-party lab proof (defamation lawsuits) 8. Compare process, not just product ("we do X, mass producers do Y") If you aren't using these, you're burning ad spend.
- 18
@codyschneider ·
the marketing agents you're building have them research your brand scrape everything it can about your company then have it interview you on where knowledge gaps exist give it raw unfiltered transcript responses once your marketing agents have the biology of your company, it can do 10x better work for you here's the most important things for it to know: Who you actually sell to — not "mid-market B2B" but the exact person. Name them. What keeps them up at night. What they've tried before that failed. Why they choose you — the real reason. Not your positioning deck. The actual moment a customer decides you're worth the money. What you uniquely know — the insights your team has gathered that no competitor can easily copy. The hard-won lessons. The unconventional takes. Where you lose deals — the objections you hear on sales calls. The questions that make prospects hesitate. The reasons deals die. Your voice — not brand guidelines. How you actually talk. The phrases you use. The things you'd never say. What you're building next — roadmap reveals intent. It shows your agent where the market is going before anyone else sees it. The stories that close — your best case studies, the narratives that make prospects say "that's us." this is the biology once your agent has this, it can write content that sounds like you, pitch angles that resonate, and create campaigns that feel like they came from someone who actually works there because they do your marketing agent is now the most aligned teammate you have and it doesn't sleep
- 19
@alexabelonix ·
The old founder playbook: build product raise money hire sales start marketing later The new playbook is messier: think in public attract the right people test language earn trust turn recurring pain into product sell into the market that watched you solve it A founder personal brand is not a “nice content habit.” It is market research with an audience. Every post is a small test: does this problem resonate? do people trust my framing? does this attract buyers, talent, investors, operators, or noise? Attention is the surface metric. Signal quality is the real one.
- 20
@KanikaBK ·
🚨JUST IN: CHINA just did WHAT NO ONE EVEN IMAGINED. They integrated WeChat with OpenClaw. 1 billion users just got a 24X7 AI agent in their pocket. 1 product update. 0 new app downloads required Here is why this is the most important AI distribution move of 2026 👇 WHAT EXACTLY HAPPENED? Here is exactly what Tencent just did. ↳ Integrated OpenClaw with WeChat ↳ It appears as a contact in your chat list ↳ You send a command. It executes. ↳ No app download. No new interface. No behavior change. Just 1.1 billion people who already have WeChat getting AI agents in their existing inbox. While the US debates which AI model is smartest. ↳ OpenAI reached 300 million users ↳ WeChat already has 1.1 billion ↳ Tencent dropped AI into infrastructure that already owns daily life They did not build a new product. They used the one that already owns 1 billion habits. Think about THAT gap for 3 seconds 👇 WHY IT IS BIGGER THAN IT LOOKS Most AI tools fail for one reason. Distribution. ↳ You have to find the tool ↳ Download it ↳ Learn it ↳ Remember to use it ↳ Change your behavior for it WeChat solved all five in one move. OpenClaw is already where 1 billion people spend hours every day. That is not a product launch. That is a zero friction AI takeover. I test AI tools every single day. The biggest barrier is never capability. It is habit change. ↳ People do not use tools that require new behavior ↳ No matter how good ↳ No matter how cheap ↳ No matter how much they need it Tencent eliminated that barrier entirely. OpenClaw lives inside a habit 1 billion people already have. No American AI lab has matched this yet. The AI race is not about which model is smarter.
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- 23
@askOkara ·
every feature you ship is a content opportunity most founders / marketers announce it on x and move on here's a better approach: 1. post the announcement on x 2. write a linkedin post announcing the feature 3. write a short article 4. find reddit threads where people complain about that exact problem and drop a comment 5. include that feature in the weekly email you send to users ship it once, publish everywhere
- 24
@coreyhainesco ·
A Conversion Factory brand optimization: Sensible. They had great raw assets but a weak arrangement, so our team tightened the layouts, used their patterns and color more intentionally, and brought well defined hierarchy to the page. Combined with our other product marketing work, their committed ARR doubled from $500k to $1M in a year.
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@buildwithmaya ·
this photo is me at 2 am in march 2023, getting ready for my first ever @ProductHunt launch i was so emotionally attached to the product launch being a success and after that I got burned out 2023 me: • over engineered too many features • obsessed over the single launch • ignored marketing after launch day • tied my self worth to whether it succeeded 2026 me: • shipping multiple products • focus on one core feature at a time • building distribution across channels before launch • treating every product as a small bet • killing ideas i love if the market doesn't care the version of me in that photo needed to hear this but can't believe I am sharing this photo lol 😅
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@yusukelp ·
Building my 2nd product made something click. It’s not about what you build. It’s about how you position it. There are always similar tools. But the sharper the angle, the faster the traction. Took me 100+ days with LandingBoost to realize this. Still not where I want monetization-wise but now I know why. It wasn’t the product. It was the positioning.
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@xelebofficial ·
Agentic AI is moving out of the demo phase. The clearest signal is not one product launch. It is the language the market is starting to use. Less: “AI assistant” “chatbot” “prompt tool” “cool demo” More: “workflow” “governance” “deployment” “memory” “permissions” “monitoring” “optimization” “business outcome” That shift matters. When a market changes its vocabulary, it usually means the buyer expectation is changing too. People are no longer impressed by agents that can perform one task in isolation. They want agents that can operate inside real workflows, remember context, respect permissions, improve over time, and create measurable value. This is the real agentic AI transition: from novelty to utility, from interaction to operation, from demo to infrastructure.
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@seeksahib ·
You are solving the wrong problem. "marketing" isn't where the issue is "we don't know who this is for" is the root cause I get on calls with founders who want growth campaigns, KOL pushes, paid pumps, the whole thing... but when I ask them: who is this actually for? silence or worse "everyone in crypto." no marketing on earth can fix that. positioning is the work that has to happen before marketing. most founders skip it because it's slow and uncomfortable and doesn't feel like progress. but it plays a major part in your project foundation
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@sabakarimm ·
A founder asked me why his content wasn't converting. I looked at it. Every post was about his product, his features, his launch. Not one was about the customer's problem. People don't share your product. They share the version of themselves your product helps them become. Flip the camera around. Make the customer the hero and watch what happens.
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@ThinksDylan ·
How to hard launch your first product from zero traction: 1. Ask everyone you know to repost and amplify your launch. 2. Keep posting and refining your hooks until one takes off. Once something works, keep repurposing and reposting it until the traffic and engagement slow down. Find your own hook and content that will spark interests from the market and keep posting about it. 3. Always think about conversion. Every post should include a clear CTA, backlink, or path for users to take action. 4. Make onboarding frictionless. The easier it is for people to try your product, the higher your conversion rate will be. 5. Triple down on social media. This is where people spend most of their days on. This is where traffic and attention are. Also it has 0 cost.
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@ArcadiaGTM ·
We helped generate 300K users for a crypto product in 1 week. These types of numbers are the result of our team's relentless obsession with strategy. We aligned the right people with the right product, messaging that resonated, voices they trusted, and touch points they actually paid attention to. The lesson is simple: When the product actually matters to the people seeing it, they don't think twice. This is how campaigns compound naturally, not by shouting louder than everyone else.
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@Iam_Mayor_ ·
Every time I see billboards like this, I just shake my head. Not because marketing is bad… but because this kind of messaging feels disconnected from reality. You don’t spend years in office with people struggling, systems not working, and expectations not met… then suddenly switch to “EXPECT MORE” like people have short memory. It doesn’t work like that. And this is where it gets interesting for me as someone in tech. Because this same mistake happens in product marketing too. There are certain approaches you just don’t use when pushing a product: You don’t overpromise when users have already experienced under delivery You don’t ignore real user pain points and jump straight to hype You don’t try to rebrand perception without fixing the actual product Users are not dumb. People are not blind. In tech, if your app is slow, buggy, or doesn’t solve a real problem, no amount of “EXPECT MORE” marketing will save it. In fact, it does the opposite it creates irritation. Good marketing is not noise. Good marketing is alignment. It matches: the experience people have had the value you’ve actually delivered and the trust you’ve built over time Anything outside that? It feels forced… and people reject it immediately. Whether it’s politics or product building, the rule is simple: Fix the product first. Let results speak. Then market the truth not a wish. Because in today’s world, perception doesn’t come from what you say… it comes from what people have already experienced.
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@ChrisClickUp ·
CEO: googles super bowl ad was ranked best of the year by kellogg school of management Head of Marketing: it was about a mom and her son picking paint colors for their first house CEO: and it beat 65 other ads including every AI company that showed up to explain their technology Head of Marketing: 14 AI-related ads. none of them cracked the top 10 CEO: what did google do differently Head of Marketing: they never mentioned AI once. never said "powered by gemini." just showed a family imagining what their home could become CEO: and thats what won Head of Marketing: because when you have to explain why your technology matters youve already lost. when someone feels it you dont have to explain anything CEO: the entire AI industry should watch that ad on repeat Head of Marketing: and then delete half their product marketing
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@seeksahib ·
Everyone treats marketing like a pipeline. Put money in one end, users come out the other. measure the flow and keep optimizing for results. But what if these users don't even matter more than you think. The real purpose of marketing is to decide what you mean to people. What you stand for and what they think when your name appears. What you really need is the right positioning. Once you have that it just keeps compounding, that's what help in dominating a category.
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@peeplaja ·
Five things B2B companies getting AI ROI are doing. 23% of B2B marketing leaders say their AI investment is delivering strong ROI. Here's what they're doing differently. Yesterday I just shared a post about why 53% of B2B companies haven't seen AI ROI - almost always because they bought licenses and called it a strategy. But the 23% who said yes? Their answers were specific. They kept saying the same things. 1. Strategy first, AI second. A Director of PMM, mid-market SaaS: "It goes back to strong PMM fundamentals. Clear understanding of our ICP. Clear understanding of the problems we solve. Clear messaging. AI is just an accelerant of your strategy. Garbage in, garbage out. We found success by cleaning up the garbage." 2. Force multiplier, not efficiency machine. A Director of Global PMM, Enterprise: "They (management) didn't just start laying people off and tell teams to do better with AI. They invested early, let employees trial and error how AI works best, and see AI as a force multiplier rather than an efficiency machine." The "cut costs" framing makes AI a threat to operators. The "force multiplier" framing makes it a tool they want to learn. 3. Procurement discipline. A Sr Director PMM, Enterprise: "We've aggressively negotiated short term contracts to prove value. Our procurement process for AI is so onerous, we only buy tools we believe strongly in." Counter-intuitive but consistent: the companies with the most AI procurement friction get the best ROI. They don't buy junk. 4. Start with the stuck backlog. A Sr PMM, Enterprise: "They severely underestimated the size of the backlog of work that wasn't being acted upon. Internal dashboards, internal training materials. The friction was insurmountable before AI." The best first AI use case isn't replacing existing work. It's unblocking the work that was never going to happen. 5. Automate the workflows. A Director of PMM, mid-market: "We've been able to streamline so many previously manual processes and save time for every employee." A Director of PMM at an AI-native company: "Everyone is encouraged to automate as much as they can with AI. For product marketing, this means automating downstream assets like email copy and social posts for product launches, win-loss analysis, competitive analysis." TL;DR Strategy first. Force multiplier framing. Tight procurement. Start with the backlog nobody's been touching. Automate manual workflows.
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@AugustinLM ·
Every viral AI product launch you're ve seeing is manufactured under precise rules. Finding radical hook + institutional social proof in line 2. Hiring dedicated agencies for launch videos. Amplifying with paid influencers + your own network DM'd to engage in hour one. Cadence: weekly minimum; (Anthropic reportedly launches multiple times a week). This is what brought Polsia to be displayed on news of the day on X.
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@varun_mathur ·
still two weeks left in March - let's go.. "Hyperspace is the highest-intent AI product launch of March 2026 — even against billion-dollar labs. Key Takeaways (updated with fresh X data) - Raw volume: Big labs still win on scale (combined ~29M views vs. Hyperspace’s 2.5M) — expected with 10M+ followers each. - Real user intent: Hyperspace dominates — 15.5k bookmarks on a one-person campaign beats every lab’s full month and every single lab post by a massive margin. Your users are actively saving/ installing/ referencing threads at rates the billion-dollar labs cannot match. - Quality edge: The 1.63 bookmark ratio (peaking at 1.81 on the launch thread) shows the P2P Autoswarm + transparent benchmarks + install CTAs are converting far better than any lab marketing. - March story: Hyperspace ranks #4–5 in raw volume but #1 by far in adoption signals. No other indie or lab campaign matched this intent level." - source @grok
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@ecom_cork ·
You can unlock massive growth by making better products in a unique way. This is also how you ad real value to the world instead of just playing an arbitrage game. Nothing wrong with being really good at marketing something you can buy low and sell high. But I believe a better business plan is leaning into creativity at the product level before you you even get to making ads. I always try and ask how can I build marketing into the product itself. You should be able to run a simple static of your product with a headline and it sells.
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@peeplaja ·
We surveyed 50 SMB founders on their marketing priorities and pain points. Buried in the data is a pattern nobody's talking about: Founders know their messaging is broken. And they're not fixing it. Direct quotes: "Our messaging is inconsistent and unclear. Docs site doesn't match marketing site." "Hard to communicate the value of what we do to people who've never used it before. Ends up being a lot of education before any real sales conversation happens, which slows everything down." "Customers are confused by the product offering." So what are they investing in instead? 52% → AI and automation 48% → Content creation 48% → Partnerships Only 20% are investing in product marketing. They're pouring fuel into channels while the engine misfires. More content doesn't help if the message is wrong. More AI doesn't help if you're automating confusion. More partnerships don't help if the partner can't explain what you do. Messaging is the foundation. Everything else compounds on top of it. The fix isn't expensive or slow. You can run a message test right now. See what lands and what confuses. Most founders skip this and chase the latest playbooks. But none of the playbooks work unless you know your ICP pain points and your messaging resonates.
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@vinyl_bones ·
I just wrapped 7 months running social and content for an AI media company (Every) as a one-person operation: 5.4M+ impressions, zero paid 59% X growth (29.6K to 47K) product account ( @usemonologue) built from ~100 to 3,900 90% engagement increase in Q1 led multiple product launch campaigns 6 brand accounts managed simultaneously here's Q1 alone ↓ i also vibe code daily. shipping iOS apps like @bkmrkai and @digcrates with Claude Code, built an AI social agent, and automated content workflows with MCP integrations. previously led socials for Art Blocks and other Web3 brands. 8 years in comms. looking for content/social lead roles at AI or dev tools companies. remote. if you're hiring or know someone who is, DMs are open.
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@nicktheriot_ ·
🥱Stuff that makes you bored running Facebook ads: Writing stronger hooks Doing customer research Finding better avatars Improving product positioning Testing new landing pages Improving your offer Creating higher-quality creatives Testing different creative styles (creative diversity) Iterating winning ads instead of chasing new ones Making meaningful variations of winners Tracking CPA instead of vanity metrics Scaling budgets by only 20% at a time Consolidating campaigns Learning from every creative test Optimizing for purchases from day one Building customer retention Matching creative style to the audience Rewriting scripts to improve flow 🤑Stuff that makes you rich running Facebook ads: Writing stronger hooks Doing customer research Finding better avatars Improving product positioning Testing new landing pages Improving your offer Creating higher-quality creatives Testing different creative styles (creative diversity) Iterating winning ads instead of chasing new ones Making meaningful variations of winners Tracking CPA instead of vanity metrics Scaling budgets by only 20% at a time Consolidating campaigns Learning from every creative test Optimizing for purchases from day one Building customer retention Matching creative style to the audience Rewriting scripts to improve flow
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@martocsan_ ·
Speed beats perfection in business and this is even more true in Web3, blockchain, and crypto startups. I’m not saying this as theory. I learned it from experience. In my first projects, we had a lot of advisors. Smart people. Well-intentioned. Each one asked for just one more thing before launch, more features, better metrics, cleaner numbers, stronger partnerships. All reasonable. Together? They killed our timing. We delayed again and again trying to hit perfect numbers. While we were polishing, we missed the most suitable launch window, the moment when the market narrative, community attention, and momentum were aligned. That mistake taught me a permanent lesson. Perfection is usually fear wearing a strategy costume. In traditional business, delays are expensive. In Web3, crypto, and blockchain markets, delays are fatal. Web3 doesn’t reward the smartest person in the room. It rewards the most active one. Nobody remembers the ones who waited. They remember the ones who kept showing up. Web3 is an attention economy. Speed creates feedback. Feedback creates clarity. Clarity creates leverage. Advisors optimize for risk reduction. Founders must optimize for opportunity capture. Your first Web3 product launch, crypto protocol, or decentralized application is not supposed to be perfect. It’s supposed to be alive. A v1. A signal. Something the market can react to. This applies to: • Web3 startup execution • Blockchain product launches • Crypto go-to-market strategy • Founder-led growth and personal branding • Building in fast-moving, narrative-driven markets Momentum is the moat. If you’re building in business, Web3, or crypto right now, ask yourself: Am I optimizing for perfection or for progress? Because progress always pays better.
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@SSage38676 ·
Most founders say "Ads don’t work" or "My audience isn’t responding" Here’s the hard truth: It’s usually not the ads, the platform, or even the budget. It’s Message-Market Fit. You can have a strong product and real demand, but if your messaging doesn’t instantly connect with the right people, everything falls flat. Signs you don’t have Message-Market Fit: - Low click-through rates on ads - High bounce rates on landing pages - People say “interesting” but don’t buy - You’re explaining features instead of outcomes - Competitors with worse products are outselling you How to fix it: - Get brutally specific about who you’re talking to (narrow it down) - Lead with the painful problem + desired outcome (not your features) - Test 3-5 different angles until one clearly wins - Make your positioning outcome-driven and competitive When your message finally clicks with the market, your entire growth engine improves — higher conversions, better retention signals, and compounding results. Have you tested your messaging lately?
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@MaxGrant__ ·
Not all campaigns are built the same. Campaign 1 is a bleeding edge unique mechanism angle (homage Peter Kell) Campaign 2 is a normal product highlight. Campaign 3 is a product launch. Campaign 4 is a founder note. Some angles you take in your marketing are so powerful they build a business. But eventually, that doesn't excite the subscribers/customers as much. It will produce sales and always be your bread and butter... Campaign strategy is all about going DEEP on those sure fire angles while testing new ones. Eventually, you get a hit, like Campaign 1. Those angles are often found through seeking new customer avatars in the ad account, then relaying it your other channels You don't always get giant hits on your campaigns, but you keeping taking shots and the occasional banger hits
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@ChrisClickUp ·
People ask me all the time how we think about marketing at ClickUp. Honestly, the biggest thing I've learned is that the best marketing doesn't come from the marketing team. It comes from the product. When someone consolidates 4 different tools into ClickUp and then tweets about how much simpler their workflow got, that one tweet does more than any ad I could ever run. When a YouTube creator makes a 20 minute video walking through how they use ClickUp to run their entire business, that's not influencer marketing. That's someone genuinely excited about a tool that works for them. My job isn't to manufacture stories. It's to find the real ones and amplify them. The best thing I ever did for our social presence was spend less time creating content and more time listening to what our users were already saying. Their words are always better than mine. If you're running marketing for a product company, spend an hour a day reading what your users post about you online. Not the support tickets. The unprompted stuff. The Reddit comments. The tweets. The YouTube reviews. That's your real brand. Everything else is just what you wish your brand was.
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@oliverkenyon ·
Wow. What a week. First of all, thank you to everyone who grabbed one of our Founding Licenses for SURGE. We officially sold out all 500, and the support has genuinely meant a lot. And thank you as well to everyone who’s followed along and patiently put up with me talking about SURGE pretty much non-stop for the past month or so. I know it’s been a lot, but what a ride it’s been. The launch itself was a huge success. But in reality, the hard work actually starts now. Our focus moving forward is very clear: • Fixing any teething issues • Working through your suggestions and feedback • And long-term, partnering closely with our original 500 founders to make SURGE even better and turn it into the beast we know it can become For those of you who’ve emailed asking when doors will reopen, we will be opening SURGE up again, but not until at least the end of Q1 next year. We want to stay true to our promise of prioritising the original founders and making sure their launches run smoothly before we scale things further. This is our first proper product launch beyond a course in the last 12 years, and I’ll be honest, it didn’t come without its challenges. But the rewards have already been incredible. Seeing multiple stores live on SURGE already, and seeing early results coming through, has made it all worth it. Over the next few weeks you’ll see my content shift back a bit more CRO, more value-sharing, and more of the journey, as always. Thank you again for the trust, the support, and the belief. The SURGE launch was a success and we’re fully committed to making it the best-performing DTC Shopify theme on the planet. Right… let’s get back to it.
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