Bot Butcher – API to eliminate contact form spam using Machine Learning

Hacker News

Hi HN - Bot Butcher is a REST API that is currently in the early release stage. It utilizes an LLM to classify contact form messages as spam or legitimate. This approach completely replaces the need for a CAPTCHA, and allows for a seamless user experience (No More "Check all the traffic lights" whilst also eliminating most sent spam messages, whether they were sent by a robot or even those sent by real people hired by click farm. The service is currently free for your first 10 requests a month, so we would appreciate any feedback regarding the actual service, the website, the documentation, really anything as we just want to see what the developer community thinks of this type of service. Thanks, Bot Butcher Team

Visit product View on Hacker NewsAug 9, 2023

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75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

29%29% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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