Bearify – Write workflows in plain English instead of using flowcharts

Hacker News

I got tired of dragging boxes and debugging brittle logic just to automate basic workflows in Zapier and n8n. So I built Bearify. It lets you describe what you want in plain English and turns it into an executable runbook. Example: "When a Stripe signup happens, fetch their info, create a HubSpot contact, tag them in Mailchimp, and send a Slack message." That is all you write. No visual builders. No syntax. Just clarity. It supports real-time triggers, schedules, and manual runs. We just launched the public beta (and need beta users so sign up if interested). Would love your feedback. Demo video is on the homepage @ https://bearify.ai

Visit product View on Hacker NewsJul 22, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, user, stripe · Missing: mac, agents, macos

93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: video, users · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder, users · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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