Callibration and performance reviews completed automated

Hacker News

Thinksy is a Slack app that summarizes your work across multiple integrations like Jira, Asana, and Google Calendar. My cofounder and I came up with this when I spent 10+ hours doing performance reviews the last cycle. We thought it was crazy that we still manually have to sift through our work and summarize it on a regular basis. Thinksy looks where you're already working (e.g. GitHub, Asana, Google Calendar) and summarizes your work for you. Basically, once you integrate Thinksy with your apps we'll make the API calls for you and summarize via OpenAI across all the integrations. This can be for things like weekly updates, standup, promo packets, etc. We have a free version to try out now on our site, feedback is more than welcomed :)

Visit product View on Hacker NewsDec 7, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

89%89% 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 · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% 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

41%41% 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: reviews, calls · Missing: plus, platform, intuitive

41%41% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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