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Karl an AI Accountability Buddy

Hacker News

Karl an AI Accountability Buddy

Hi HN, My name is Kam, and today we’re excited to launch an AI accountability buddy that helps keep you in check and holds you accountable. We originally launched Karl ( https://www.heykarl.xyz/ ) as an AI companion but realized the use case was too broad. After talking to some users and collecting feedback, we decided to explore the direction of using Karl as an accountability buddy. Prior to building Karl, one of my friends and I were manually checking in with ourselves daily to ensure we accomplished one goal we had discussed. Although it didn’t help me accomplish all of my goals, I noticed that there were times when, without the check-in, I wouldn’t have taken action. Our goal with Karl is to provide that nudge and reminder to keep you focused on your goals. Currently, you can text Karl, and he will check in with you every morning at 8 a.m. and evening at 8 p.m. in your time zone. We charge $10 a month for Karl to cover server costs and the use of GPT on the backend. We track how often you accomplish your goals and provide weekly feedback on your performance. In the long term, we want to experiment with the best times to keep you on task and identify patterns that make you most productive based on your unique personality traits. Let us know what you’d like to see from Karl! We’d really appreciate your feedback. You can get started by texting Karl at +1 (844) 619-7958.

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
77%77% 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: user, using · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, month, users · Missing: mobile apps, ios, entrepreneurs
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
30%30% 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 · Strong signals: users · 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 · Missing: arr, mrr, revenue
19%19% 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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