I built an AI accountability buddy to guilt-trip procrastinators

Hacker News

So, I've had this idea for a while now, an accountability buddy that calls you out if you make excuses and implements guilt so you can feel bad just like with a human accountability partner because when I looked at similar ideas everyone is saying that they don't stay accountable because it's not a real person. I'm still validating the idea, do people need something like this? I think so I've seen so many apps to track your goals and break bad habits, etc, but nothing ever really worked for me long term. So I started to build a landing page for Unslacker and finished it last night, I think it looks clean: https://unslacker.com/ I really need some feedback as much as possible and if you are interested, feel free to join the waitlist.

Visit product View on Hacker NewsFeb 23, 2025

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

67%67% 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: started · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on TrustMRR, 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

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

nativeThis product was originally launched on this platform.

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

20%20% 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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