Business workflow automation
Automating repetitive operational work across leads, sales, onboarding, invoicing, scheduling, reporting, support, and internal task management.
48.3%
Best tweets about Zapier
29 Best Tweets About Zapier (2026)
Browse the best tweets about Zapier, featuring automations, Zaps, integrations, AI workflows, business operations, templates, and productivity results.
Useful Zapier automations, integrations, AI features, workflow design, limitations, reliability, operating outcomes, and product updates.
- Creators
- 25
- Updated
Original Xholic analysis
What 29 top Zapier posts reveal
Discussion of Zapier spans practical business workflows and expanding AI-agent integrations, alongside posts raising concerns about incorrect outputs, workflow sprawl, pricing, integration constraints, and reliance on external platforms.
- Dominant tone
- Positive
- Median score
- 6.19
- Leading format
- Announcement
- Recent posts
- 27.6%
72.4% of posts
All-time engagement
27.6% of posts
Published in 90 days
Conversation map
The themes creators return to
AI agents and app integrations
Zapier SDK, MCP, and agent skills that give coding agents and AI assistants access to thousands of external apps, APIs, and business systems.
34.5%
Zapier ecosystem product updates
Product launches and integrations involving Zapier, including AI Rubric, Automation Bench, SDK releases, and partner-platform Zapier capabilities.
31%
Workflow design and governance
Designing reliable automations with planning, human review, documentation, testing, monitoring, clean data, and appropriate task selection.
24.1%
Cost, scaling, and platform tradeoffs
Task pricing, execution costs, workflow sprawl, self-hosted alternatives, vendor dependence, integration limitations, and migration risk.
20.7%
Automation ROI and implementation services
Automation as a practical business capability and service: reducing manual work, improving response times, saving costs, and creating implementation opportunities for SMBs.
17.2%
Marketing and content automation
Using AI and Zapier to create, repurpose, schedule, evaluate, and operationalize marketing content and GTM processes.
17.2%
Meeting and knowledge workflows
Capturing meeting notes and transcripts, enriching them with AI, updating systems of record, and building searchable organizational knowledge.
13.8%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 13
- Median reposts
- 1
- Median replies
- 5
- Median views
- 1.4K
Posts with media make up 48.3% of this collection. Their median all-time score is 29.8, compared with 2.65 for text-only posts.
Format mix
- Announcement 27.6% · score 111.4
- Other 27.6% · score 5.25
- List 17.2% · score 4.37
- Question 10.3% · score 4.67
Consensus and debate
Where creators agree, and where they do not
Shared view
Automation examples center on operational tasks
Posts describe uses such as lead response, invoicing, onboarding, reporting, meeting follow-ups, CRM updates, and task routing rather than only abstract AI applications.
Shared view
Agent connectivity is a prominent product theme
Posts announce Zapier SDK access for AI agents to 8,000+ apps and open-sourced GTM agent skills and automations built with Zapier SDK and MCP.
Shared view
Documentation is presented as useful context for AI workflows
Posts point to clean documentation and APIs, as well as meeting notes, transcripts, and shared records, as inputs for agents, knowledge bases, and workflow automations.
Shared view
Posts recommend controls around automated workflows
Examples include planning before execution, approval steps, workflow logs and test runs, plus keeping systems documented and replaceable to reduce operational risk.
Open debate
Meeting-workflow promise versus reported failure
One post says its multi-tool meeting stack produces incorrect outputs that do not work. This contrasts with another post reporting that a Zapier-based meeting-notes-to-knowledge-base workflow works well for now, and a separate post describing a meeting workflow as eliminating manual work.
Open debate
Zapier versus custom or self-hosted alternatives
Posts describe Zapier as an automation layer, while other authors argue for custom webhooks or self-hosted alternatives such as n8n and Activepieces, citing claimed endpoint limitations, task pricing, licensing, and execution-cost considerations.
Open debate
Quick setup claims versus maintenance and scaling concerns
One post claims many small-business automations need only a Zapier flow and two hours of setup. Other posts describe breaking formulas in Google Sheets connected by Zapier integrations and recommend batching, monitoring, and auditing workflows to manage execution costs.
What performs
Patterns behind standout posts
Product announcements led engagement
Announcements had a median all-time score of 111.41, higher than every other listed format. The evidence includes SDK, GTM-agent, and Automation Bench announcements.
Meeting-stack critique was the largest outlier
The meeting-automation critique scored 1402.23, or 226.57 times the dataset median, making it the top listed outlier despite its negative reliability assessment.
Media posts had a higher median score than text-only posts
Media appeared in 14 posts (48.3%). Its median all-time score was 29.77, versus 2.647 for text-only posts.
Statistical standouts
- View standout post 1 Score 1402.2 · 226.57× median
- View standout post 2 Score 668.3 · 107.99× median
- View standout post 3 Score 306.1 · 49.46× median
- View standout post 4 Score 144.5 · 23.35× median
- View standout post 5 Score 115.1 · 18.6× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 31% of the selected posts.
-
1. Dominic Whyte
@domwhyte42
2 posts
-
2. Tiago Forte
@fortelabs
2 posts
-
3. Harsh Makadia
@MakadiaHarsh
2 posts
-
4. Wade Foster
@wadefoster
2 posts
-
5. Andrew Warner
@AndrewWarner
1 post
-
6. Alex Cohen
@anothercohen
1 post
Wade Foster’s two posts focused on SDK-led updates
Wade Foster posted two top-voice items: one announcing open-beta Zapier SDK access and another announcing open-sourced GTM agent automations. His listed median all-time score was 487.22.
Tiago Forte and Harsh Makadia shared implementation-oriented examples
Tiago Forte’s posts describe claimed sales-time savings and a meeting automation workflow. Harsh Makadia’s posts cover small-business automation examples and tactics intended to control execution costs.
The dataset includes a broad set of creators
The evidence set contains 25 creators. The deterministic analytics assigns the top five creators a 31% placement share.
Since the previous snapshot
What changed since Aug 12, 2026
- 44.8% 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 29-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 Zapier tweets
Top Zapier tweets from 25 creators
Ranked 01–29
- 01
@anothercohen ·
I've now added Wispr, Notion, Granola, Fireflies, Zoom, Gemini, Cluely, Otter, Fathom, Read AI, and Wingrep to every meeting. Each produces slightly different meeting notes. I send all of them to Claude and ChatGPT, which push the summaries into Slackbot and Salesforce AI. Linear agents automatically create tickets while Notion agents create follow-ups in Notion. A Zapier workflow then uses 500k tokens to draft a follow up email in Superhuman. None of it works and all of it is wrong but man, is it beautiful. AGI is here.
- 02
@wadefoster ·
Today we open the Zapier SDK to everyone. If you're building with AI agents, this is for you. I've been using this for 2 months. It's totally changed how I do my job. You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access to 8,000+ apps through @Zapier and can do anything those APIs can do. I think it’s the most powerful thing we’ve launched in years. Now in open beta. Just give this link right to your agent: https://t.co/k6arEyZMMU
Watch video
- 03
@wadefoster ·
We just open-sourced Zapier’s GTM agents. It's a GitHub repo of GTM agent skills and pre-built automations, built on @Zapier SDK + MCP. Some of the automations included: - Daily lead audits to flag what's slipping - No-lead-left-behind rollup - Cross-CRM Opportunity Sync - Customer Deck Builder - PR & Media Inbox Triage Plus skill files across marketing, sales, revops, customer advocacy, and support. Drop them right into Cursor, Codex, Claude Code, or wherever you're building. https://t.co/7xzpfzwxVr
- 04
- 05
@law_ninja ·
Indian MSMEs run on WhatsApp, Excel, and trust. AI hasn't touched them. Yet. India has 63 million MSMEs. 31% of GDP. 250 million jobs. Ask any owner in Surat, Ludhiana, Tirupur, or Nagpur if they use AI in their business. Most will say yes. They mean WhatsApp. Or someone on their team opened ChatGPT once. That is not automation. That is not a workflow. That changes nothing about how the business actually runs. Real AI deployment, the kind where a process runs without a human triggering it, where data moves between systems automatically, where follow-ups go out without someone typing them, that is essentially at zero in Indian MSMEs. Not 7%. Not 2%. Essentially zero. Why this is the biggest untapped market in India right now. India's large enterprises are moving fast. 47% of them have AI running in production (EY-CII, 2025). Their MSME suppliers, distributors, and vendors? Still on Excel. Still on manual data entry. Still on phone calls to confirm orders. The gap between enterprise and MSME on AI is not a technology problem. It is a deployment problem. The tools exist. n8n, Make, Claude API, GPT-4, Zapier. All available. Most either free or under Rs 5,000 a month. What doesn't exist is a person who walks into the MSME, understands the workflow, and builds it. That person is the AI Workflow Architect. What this person actually does. Real example. A garment exporter in Tirupur processes 200 orders a week. Each order needs: Buyer email parsed PO data entered into Tally - Production schedule updated - Shipping documents generated - Buyer follow-up sent Currently: 2 data entry operators. 8 hours each. 5 days a week. - An AI Workflow Architect builds this in 4 weeks: - Email parser using Claude API or GPT-4 - Tally integration via API - Auto-generated shipping docs - WhatsApp follow-up bot Cost to client: Rs 2-3 lakh one-time. Rs 15,000 per month to maintain. Savings to client: Rs 40,000 per month in salaries. ROI in 6 months. This is not complicated. It is not being done because nobody is walking in to do it. The IT crisis and the MSME gap are the same story. Fresher IT hiring: 600,000 in FY22. Down to 120,000 by FY25. An 80% drop in three years. (Source: Xpheno) TCS cutting 12,000 jobs. NITI Aayog warns of 15-20 lakh IT jobs at risk. Everyone is looking at that number and panicking about what's ending. Nobody is looking at the 63 million businesses that need someone to deploy AI into their operations. The same disruption that kills the BPO seat creates the AI deployment market. These are not separate events. They are the same event, viewed from different angles. The skill set is learnable. In months, not years. - No CS degree needed. No advanced Python. - Prompt engineering learning time: 2 weeks - One automation platform like n8n or Make: 3-4 weeks - API basics, connecting tools to each other: 3-4 weeks - Reading a business process and mapping it: ongoing Three months of focused learning. Then you go find one MSME that has a painful manual process and you fix it. This is the time, this is the opportunity. India's future for next 3 decades will depend on this.
- 06
@coreyhainesco ·
Marketing Skills v1.7.0 is out. What shipped: 🆕 /aso-audit — audit and optimize App Store and Google Play listings. Keyword analysis, visual asset assessment, competitive benchmarking, and conversion rate optimization for mobile apps. Community contribution from @basseko. 🛠️ Zapier SDK — AI agents get direct access to 8,000+ app integrations (Slack, HubSpot, Salesforce, and more) without building a single OAuth flow. Includes install guide, CLI commands, SDK methods, and marketing automation examples. Enhanced skills: • /community-marketing — added task-specific questions + related skills sections • /aso-audit — cleaned up for cross-agent compatibility • /social-content — formatting fixes for platform reference links Now shipping 36 skills and 52 tool integrations. Free, open source. npx skills add coreyhaines31/marketingskills
Watch video
- 07
@landforce ·
Lead magnets are dead. Brands are creating rubrics now @orenmeetsworld and I use Zapier's new AI Rubric to evaluate one of our businesses
Watch video
- 08
@AndrewWarner ·
If you're not selling to agents, you're missing the biggest, growing market. @wadefoster showed me how Zapier does it in our monthly pod. Including: • Give agents clean documentation • Create stripped-down, plain-text versions of your site • Build clean API & CLI tools • Run queries constantly to evaluate results (YouTube link below.)
Watch video
- 09
@chrija ·
In case it's useful for others, here's how we at @PointNineCap are adding @meetgranola notes to our AI knowledge base: 1) Saving a note in a shared folder in Granola fires a workflow in @zapier 2) Zapier creates a Google Doc, containing AI-enhanced notes + user notes + raw transcript The AI knowledge has access to our entire G-Drive, incl. the Granola folder. I'm sure @meetgranola will come up with a better solution soon ... but this works quite well for now.
- 10
@tbpn ·
Zapier CEO @wadefoster says remote companies have an advantage in the AI era, becuase "every last bit of work exhaust is documented," which supercharges internal AI and accelerates people's work: "All our stuff is inside Slack. All our meetings are recorded. Every last inch of work that happens, there is a written trace of that." "So we can put chatbots on top of that, and that creates a whole bunch of institutional knowledge that accelerates the work." "So a new person coming in can literally figure out, 'Is there a standard operating procedure for this?' And you don't have to go chase people down in offices and sort of hope the campfire wisdom finds you." "Remote companies have a big advantage because they do tend to have so much work that leaves a digital exhaust." From his appearance on the show in April.
Watch video
- 11
- 12
@Jacobsklug ·
After building a $2.5M AI software agency, I’ve learned that anyone who says there's a "magic AI bullet" is lying to you. You don't win with one secret tool. You win by stacking the right ones and making them work together. Here's the full stack I'd start with today: 1/ Claude Code The agent runtime. The thing that actually does the work. Give it the task and it builds, edits, and ships across your whole project, completion and all. 2/ @Lovable Where the product takes shape. Describe the app in plain English and Lovable ships the front end for you. The point isn't the speed. It's that you no longer need a dev team to do it. 3/ Supabase This gives your app a spine. Auth, APIs, user data, database. Lovable connects to it natively, so the backend stops being the hard part. 4/ Zapier and n8n The automation layer. These trigger the repetitive work and connect your app to everything else. CRM, email, third-party tools. The stuff that should run without you. 5/ Github Memory and version control. Every change tracked, nothing lost, easy to roll back when an agent goes sideways. The tools aren't the moat. Anyone can list them. The skill is connecting them into one system that earns while you sleep. Get that right and you can turn almost any service offer into a product. Save this for when you're ready to build.
- 13
@thisdudelikesAI ·
A dev in Amman, Jordan built a free open-source Zapier that ships 300+ integrations, all available as MCP servers out of the box. Your AI agent can already talk to Gmail, Slack, Notion, Airtable, Stripe, GitHub, HubSpot, and hundreds of other tools. No glue code. Zapier Starter is $29.99 a month for 750 tasks. Zapier Team is $103.50 a month for 2,000 tasks. To connect your AI to the tools you already pay for. It's called Activepieces. 22,450 stars. MIT core. Pushed yesterday. Activepieces vs Zapier vs n8n: - Price: Zapier $29 to $103+ a month → n8n free → Activepieces free - Task limits: Zapier caps at 750 or 2,000 → n8n unlimited → Activepieces unlimited - License: Zapier closed → n8n Sustainable Use → Activepieces MIT core - AI-native: Zapier bolted on → n8n bolted on → Activepieces built around MCP Here is the wildest part. n8n's Sustainable Use License explicitly forbids "hosting n8n and charging people money to access it" ([n8n docs](https://t.co/2MibbC1BHf)). Activepieces core is MIT. You can resell it. SaaS-host it. White-label it. The license does not bite back. Honest flag: code under packages/ee/ is enterprise-licensed. For 95% of dev use cases this does not matter. Mo AbuAboud built Activepieces from Amman, Jordan. YC-backed, but he still ships commits as a top contributor. Zapier charges $1,242 a year on Team and caps you at 2,000 tasks. Activepieces does the same job, unlimited, on a $5 VPS. This is what workflow automation looks like when the dev who built it is also the dev who would refuse to pay Zapier. (Link in the comments)
- 14
@SimonHoiberg ·
The "solo founder" label is misleading. You are not really solo. You just replaced employees with vendors. OpenAI, AWS, Stripe, Google, Zapier, etc. Your entire "team" is a stack of external dependencies. This is not always a bad thing. But it's definitely not "independence" either. Most of the "I run a 7-figure business solo" posts skip a few details: → API policy changes can kill your product overnight. → Pricing updates can wipe out your margins in a week. → One outage in a critical tool can block your entire funnel. So what do you actually control? → Your audience. → Your offer. → Your data. → Your infrastructure. (If you set yourself up correctly!) If you want real leverage in the AI economy: 1️⃣ Own your audience: Move people from YouTube, social media, etc, to your own email lists, communities, channels. 2️⃣ Reduce platform risk: Use BYO key when you can. Prefer tools that are self-hostable. Have at least one fallback for key providers. 3️⃣ Build simple, replaceable systems. The more custom glue you add between tools, the harder it is to switch. Keep your workflows clean and documented so you can migrate when you need to. Just be honest about what you control and what you rent. Solo is not the goal in itself. Control and sovereignty is.
- 15
@MakadiaHarsh ·
6 automations every small business needs but doesn't know exist: 1. Lead response under 60 seconds (most businesses reply in 4+ hours by then the lead is gone) 2. Invoice follow-ups that send themselves (no more awkward "just checking in" emails) 3. Client onboarding that runs without you touching it 4. Review requests sent automatically 3 days after delivery 5. Internal daily reports that build themselves by 8 AM 6. Appointment reminders that cut no-shows by 40% None of these requires AI. Most need a Zapier flow and 2 hours of setup. The ROI is instant.
- 16
@fortelabs ·
Most people assume workflow automation requires a development team or expensive consultants Hayden's team built a system that saves salespeople 90 minutes daily using nothing but Zapier, a screen recorder, and basic AI prompts The first setup took under a week. Now they can replicate it in two hours What makes you hesitate to automate the repetitive parts of your work?
- 17
@nocodelife ·
I've been deep in a Claude Code hole for the past few months but recently have been trying out Claude Cowork to see how it compares. Here are 10 of the best Cowork tips I've found: 1/ The "End of Session" prompt. Before you close Cowork, ask it to save key takeaways to a local memory.md file AND write the exact prompt you should use to start your next session. Perfect continuity every time. 2/ Import your ChatGPT memories. Don't start from scratch. Use Claude's "Start import" tool in settings to port your entire memory history over from ChatGPT or Gemini automatically. 3/ The "Successful Examples" folder. Don't just give Claude instructions. Create a subfolder full of your best past work (emails, proposals, ads) so it can reverse-engineer your exact style and see what "success" actually looks like. 4/ Force "Plan Mode." Add "show a plan, wait for approval, then execute" to your Global Instructions. Stops the AI from rushing into assumptions, saves you a massive amount of tokens, and lets you course-correct before it acts. 5/ The Zapier MCP trick. Is Claude missing a native connector for your favourite tool? Use Zapier MCP to build a custom server that connects Cowork to 8,000+ apps like Stripe, HubSpot, or Skool. Takes a few clicks. 6/ Dynamic context routing. Don't hardwire your entire business context into every prompt. That burns through your usage limits fast. Instead, add a Global Instruction telling Claude to "only check the Business Folder if asked a strategic business question." 7/ Apple Watch and iMessage control. Enable the "Read and Send iMessage" extension on a Mac running 24/7, and you can text tasks or send screenshots to your desktop Claude directly from your Apple Watch while you're out for a run 😄 8/ Master "hard" vs "soft" memory. Claude has two types of memory inside Projects. "Soft memory" runs automatically, sweeping your conversations every 24 hours and pulling out important details for background context. "Hard memory" is when you explicitly tell Claude to save specific workflows, preferences, or rules to a local file like memory.md. Soft memory is useful, but for the stuff you absolutely cannot afford the AI to forget, maintain those hard memory files yourself. 9/ The "Handover Test." Unsure if a workflow should be a Skill or a Plugin? If it requires 3+ steps across 2+ tools and you could hand it off to a human employee, bundle it into a shareable Plugin. 10/ Zero-hallucination maths. Never ask Claude to directly calculate totals from a folder of receipts or invoices. Instead, have it write the actual formulas into an Excel spreadsheet. It handles Excel formulas perfectly, completely eliminating AI maths errors.
- 18
@pipelineclub100 ·
One difference that AI is making in business is replacing features of larger software that you might use. The net effect will be more churn and lower user counts if you aren’t a core sticky software. Take the example of Zapier. I had it for a few things for my SMB to create webhooks and send notifications to slack. Today I used Claude code and 40 minutes later we are doing custom webhooks for everything. Zapier was limited to the pre-designed end points of the integration. Now we added several new ways to centralize our workflow into slack with notifications.
- 19
@domwhyte42 ·
Last week was Zite launch week - insanely proud of our team for everything that shipped: Day 1: Building Experience Upgrades 🆓 Free error fixes — no credits consumed when fixing issues 🧠 Choose your AI model — Zite Mini, Pro, or Max (Claude Opus) ⚡ Faster, more reliable previews with upgraded infrastructure 📊 Credit usage visible per request and per app Day 2: Plan Mode 📋 New Plan Mode — AI asks clarifying questions before building ✏️ Editable plan documents to review scope before committing 🚀 Build only when you're ready Day 3: Workflows 2.0 🔁 Loops, complex branching, and more powerful backend logic 📊 Workflow run history and logs 🤖 Ask Zite to debug failed workflows for you 🧪 Test runs with custom inputs before going live Day 4: MCP & Integrations 🤖 Model Context Protocol (MCP) — connect Claude, Cursor, and AI tools to your database ⚡ Zapier integration with real-time triggers 🔗 Relay integration for human-in-the-loop automations Day 5: Zite Database Generally Available 🎁 Zite Database officially out of beta 🔍 Filters with saved views 🧮 AI-powered formulas — describe what you want in plain English 🧱 20+ field types including linked records, lookups, and rollups 💰 Unified pricing — database included with your Zite subscription 🔢 Auto-number fields for IDs, tickets, and invoices That craziest part is we already have a bunch of new updates ready for both Zite and Fillout - more on that later this week!
- 20
@domwhyte42 ·
Zite Launch Week Day 4 🚀 MCP, Zapier & Relay Today we released new ways to connect Zite database to your favorite AI tools and automation platforms 🤖 Model Context Protocol (MCP) Connect AI assistants like Claude or ChatGPT to query and update your databases using natural language ⚡ @zapier integration Trigger Zaps when records change, or push data into Zite from thousands of apps 🔗 @relay integration Add human-in-the-loop approvals and connect Zite to the rest of your stack Final day of Zite launch week tomorrow, saving the biggest update for last 👀
- 21
@fortelabs ·
I invited my friend and serial entrepreneur, Hayden Miyamoto, back to my YouTube channel to share the AI workflow his team uses for meetings In this video, he walks through a Zapier automation that records calls, analyzes transcripts with AI prompts, updates CRMs, sends Slack notifications, and tracks everything automatically This eliminates hours of manual notes, follow-ups, and reporting. The system works for sales calls, onboarding, team huddles, or personal learning—and you don't need developer skills to set it up
- 22
@MakadiaHarsh ·
My playbook for keeping automation costs flat as a client scales from 100 to 10,000+ daily operations: Move 1: Batch where possible. Instead of triggering on every single event, batch process every 15 minutes. One execution with 50 items costs less than 50 individual executions. Move 2: Cache responses. If you're calling the same API with similar inputs repeatedly, cache the result. Same customer lookup doesn't need a fresh API call every time. Move 3: Self-host n8n. At 5,000+ monthly executions, the cost difference vs Zapier is $400-500/month. At 50,000, it's thousands. The math is obvious. Move 4: Kill zombie workflows. Every month I audit which automations actually ran and which are sitting idle. Move 5: Monitor per-workflow cost. Log execution time × API calls × data transferred for each workflow. The top 3 most expensive workflows usually account for 80% of the bill. Optimize those first.
- 23
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- 25
@sachinrekhi ·
What's the right AI tool for the job? The answer has gotten far more complicated today with the proliferation of tools. To deal with this, I've developed the following mental model around AI interfaces and their applicability to particular tasks. Chatbots - This is the category that started it all. ChatGPT, Claude, Gemini. Simple question & answers end up being useful for a whole host of exploratory questions. And this remains my daily personal driver. Copilots - Copilots then emerged as a way to use AI to manipulate artifacts. Code was the original artifact with tools like Cursor. But copilots expanded beyond code to documents with AI tooling in Notion, Google Docs, Google Sheets, and more. Whenever I want to manipulate an artifact, I reach for the appropriate copilot. Agents - Agents have emerged as fully autonomous AIs designed to execute workflows all on their own. On one side you have the coding agents like Claude Code and Codex. On the other end you have workflow automation tools like Zapier, Relay, and n8n. Whenever I want to create a fully autonomous workflow that I can repeatedly run, I reach for an agent. So now every time I think about using AI, I ask myself whether I should reach for a chatbot, a copilot, or an agent for the task.
- 26
@SSage38676 ·
Most founders confuse awareness with demand. Awareness = people have seen you. Demand = people understand why they need you now. For innovative products, demand doesn’t already exist at scale. You have to create it. Here’s the step process to create demand: 1. Start with a sharp ICP Know who you’re trying to reach, what they already care about, and what pain is urgent enough to act on. 2. Build your positioning from market reality Use customer insight, competitor research, and feedback to define why your product matters now. 3. Reframe the problem Don’t just describe your feature. Teach people to see the problem differently. 4. Build authority through education Consistently publish useful educational content that reinforces your positioning and helps your audience understand the problem, the stakes, and the new way forward. 5. Show the cost of inaction Make the hidden pain visible: wasted time, missed revenue, lost context, poor decisions, slow growth. 6. Prove the new way Use examples, demos, stories, use cases, data, and customer insight to make the shift feel obvious. 7. Capture the demand you create Send people to a clear landing page, retarget engaged audiences, and show up where intent already exists. 8. Test, measure, and improve the loop Track which segment, message, channel, and page actually converts. Then double down. Example: Zapier Most people already knew Gmail, Dropbox, and Basecamp. Almost no one was looking for an "app automation platform." That's missing demand. Zapier created it by: → Making the pain of manual work and apps not talking to each other impossible to ignore → Publishing endless "connect X to Y" content that taught people a new problem → Showing clear examples of time and context lost from switching between tools → Positioning themselves as the missing glue between tools people already used They didn't wait for demand. They built it through education and problem reframing. Don't just get seen. Make the market understand why they need you now.
- 27
@Iamjaneezy ·
AI skills that can realistically help you earn $5,000/month: businesses are paying people who can use AI to save time, increase sales, reduce manual work, or create content faster. Here are real skills worth learning: AI automation Help businesses automate repetitive work using tools like Zapier, Make, Airtable, Google Sheets, Notion, Slack, Gmail, CRMs, and AI. Examples: Auto-reply to customer enquiries Turn form submissions into CRM leads Generate weekly reports Summarize emails Create invoice/payment reminders Route leads to sales teams Learn: https://t.co/ptyQaaCgwh https://t.co/2BrMpK9LtX https://t.co/wtVZdW71pf https://t.co/i278ADVVL7 AI chatbot/customer support setup Businesses want chatbots that answer FAQs, qualify leads, book calls, and reduce support workload. Examples: Website chatbot WhatsApp support flow FAQ bot trained on company docs Lead qualification bot Support ticket summarizer Tools: https://t.co/CHAQvarYl2 https://t.co/8fjuMI1SYe https://t.co/Y7E1adQv1W https://t.co/KgVFD6dKd3 https://t.co/RJmPsodc5o AI content systems Not just “write captions.” Build content workflows for founders, coaches, agencies, and small businesses. Examples: Turn one YouTube video into 10 posts Turn podcasts into newsletters Create LinkedIn/X content calendars Repurpose blog posts into short-form scripts Build brand voice prompt systems Tools: https://t.co/hnqw41VPtx https://t.co/FXs3PMit18 https://t.co/1J9VpC28qq https://t.co/06PwubaP4h https://t.co/anh0ujkNNA AI data analysis Many businesses have messy data but no clear insight. Help them clean, analyze, and explain data. Examples: Sales dashboards Customer churn analysis Google Sheets automations Monthly business reports Marketing performance summaries Tools: https://t.co/HCgTEhy9pC https://t.co/2tdnUyMSAJ https://t.co/GjvCLAhZRZ https://t.co/FGCvD8JUKx https://t.co/x6I2YkReQt AI website/landing page building AI can help you move faster, but businesses still need humans who understand design, copy, conversion, and trust. Examples: Landing pages for local businesses SaaS waitlist pages Product pages Service pages Lead capture pages Tools: https://t.co/6RIVJf2azT https://t.co/GmAc3CrSeN https://t.co/Y6J9t8QLr8 https://t.co/jMlmjyArko https://t.co/KJ7VWjcOYs AI agents for business workflows This is where demand is growing fast, but don’t overhype it. Businesses want AI agents, but they also need humans who can design, test, monitor, and fix them. Examples: Research agents Sales prospecting agents Support agents Reporting agents Internal knowledge-base assistants Tools: https://t.co/QQ6VVnB8GC https://t.co/dxAECh9lJb https://t.co/qM1YkIoqVP https://t.co/kj41LoE6h9 https://t.co/E4d4gaQLYx Where to find work: https://t.co/f3ykA3c1Ua https://t.co/u2pXC0d9cl https://t.co/Q0d0b2uATQ https://t.co/UM6fbl73Y2 https://t.co/6nREcJHjkD https://t.co/B9fsmqUxiM https://t.co/1UGIX3xyly https://t.co/V8hyOSDgrM The real money is not in saying “I know AI.” The money is in saying: “I help businesses save 10 hours a week with AI automation.” “I help founders turn long content into 30 days of posts.” “I help small businesses build AI chatbots that capture leads.” “I help teams clean data and generate weekly reports.” One clear skill. One clear offer. One clear result. That is how AI becomes income.
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@evielync ·
Before Claude Code, building an automation for my business looked like this: ↓ Log into Zapier. Pay for the plan that actually lets you do things. Spend two hours dragging boxes around a screen. Hit a wall because the integration you need doesn't exist. Give up and do it manually. After Claude Code: Describe the problem in plain English and it just... builds it. I have so many automations I have always dreamed of built this way: ↳ Checking payment issues from my membership every Monday ↳ Running morning briefs that pull from my calendar, emails, and task list ↳ Writing & scheduling social media posts just by having a conversation ↳ Even building live business dashboards Claude Code is like having my own private Zapier, except all I have to do is say what I want and it just goes and works it out.
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@BrettErik ·
tight feedback loops win as an operator, one of the best things you can give yourself is tight communication loops, there are a few ways to hardwire this into your workflow: 1- @clickup (personal favorite) task management seems simple enough until you begin rolling out and testing new angles, new workflows, or have any tailoring in your client-based services can't recommend clickup enough for this, or some form of fast, visible task management. i've been hammering my team and myself on this point: when in doubt assign it and give it a deadline due dates help you build the muscle of prioritization, which is in my opinion, the top skill of leaders in 2026 (not a paid promo, just my favorite tool, clickup let me know if you want it to be a paid promo tho i'm game we love it) 2- calendar event reminders sounds too simple/trite but with so many tasks that occur on a cadence, having clickup--> early calendar event on team members calendar is clutch 3- bird's eye view on all calendars call me what you will but i like having a complete view of all team member calendars so i know who's where and when, it's messy to look at for the first bit but once you're used to it it becomes priceless for timing and assigning (specific to lean teams) 4- simple task assignment zaps my personal favorite is the emoji-->clickup task simple zapier flow that goes -specific emoji response to slack message -pull slack message -uses logic to name the task -automatically adds it to a specific channel different emojis go to different channels, when in doubt it gets assigned (if anyone is using agents to do the assignment well i'd love to see it, seems like a clear use-case but easy to mess up at scale) 5- @viktor__com (again not paid but lmk because this one is fantastic) scheduled reporting using viktor has been a massive time-saver for our team, one caveat here is that you'll want to make sure you get your api connections setup right (and choose the right tools) otherwise you won't get trustworthy data for scheduled tasks +1 if you have a clean spot where all data is housed so viktor can really help you glean information 6- automate the triggers again with the zapier flows, but having a clear sense of what's happening at any point allows you to do the hard work of prioritizing tasks appropriately, make it easy on yourself. If you're in the operator seat you need to be maximizing your visibility into the key events (this does not mean ALL events, it means the ones that must happen or things break)
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