Lindra – generate browser agents to automate any website

Hacker News

Hi HN, We’re one month into building Lindra, a platform that turns any website into a workflow by automatically generating browser-agent scripts and running them. Today it supports actions on a single domain. This week we’re shipping nodes so you can chain steps into full multi-page flows. Think grab information from any page and push it to your crm, google apps or your own code. Why we’re making it We kept writing brittle Puppeteer/Playwright scrapers that broke when a site changed and remained unreliable. Lindra lets you describe the goal and generates an agent that adapts to DOM changes and exposes a clean API. Technical bits Built with Astro + playwright + Supabase Try it → lindra.ai

Visit product View on Hacker NewsSep 22, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, google · Missing: mac, macos, cursor

95%95% 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

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, month, google · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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

22%22% 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.

Incorrect prediction on native model

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