Turn Any Website into an API

Hacker News

Our Product Hunt launch is live tomorrow! When browser agents started getting popular earlier this year, they were still a bit rough around the edges, but the potential was impossible to ignore. After a few months of experimenting with different tooling, we finally landed on a combination that we believe will work better than today’s leading browser agents. We went full time just five weeks ago, and the progress since then has been immense. Our first iteration was bad, no way around it. Within the first week of going full time, we pivoted to a chat based prompting model. The underlying model was still making obvious mistakes, so we fixed those one by one. Individually, each fix didn’t feel like much, but when you zoom out you realise how far we have come. We always knew our approach would be the cheaper way to build a browser agent, but based on today’s tests, three people built a browser agent that beats industry standard browser agents in token efficiency by a huge margin without sacrificing accuracy. Built in the Baltics, not San Francisco. It’s not a scientific benchmark yet, just a few prompts, but even getting close with the resources and timeline we have feels amazing. More comprehensive benchmarks soon, also another launch coming early next month.

Visit product View on Hacker NewsOct 22, 2025

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Actual performance

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Launch Intel predictions

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

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: mistakes, started · Missing: supports, reddit linkedin, podcasting

90%90% 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

68%68% 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: month, way · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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