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mani – digital notes like sticky notes

Hacker News

mani – digital notes like sticky notes

Hello, My name is Naren Keshav & have made a product called mani: https://www.mani.ai/. You can stick digital notes in the physical world like a sticky note. Once stuck, you can share them with people. mani will guide them to that location, to view it. Here is a quick walkthrough: https://youtu.be/-RENGkaE2FY (<5 min) The role mani would play for our future: https://narenkeshav.com/essays/mani-future I love creating products & I have devoted my professional life in getting good at it. So far in this journey, my intention was to focus on things that I am good at. I believe I accomplished that. For this product/company to go further - it requires people who would believe in this journey. If you know anyone who might be interested in this product/company, please share it with them. I would also love to know your thoughts on it. Thank you for your time, Naren Keshav

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% 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, io · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: physical, notes · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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
18%18% 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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