Universal Inbox – Centralize all your notifications in a single place

Hacker News

I have always struggled to keep my todo list filled with everything I have to do from all the tools I'm using daily. I thus have created Universal Inbox to gather all the notifications of all these tools so that I have a single inbox to empty and I can easily create tasks in my todo list tool. Moreover, Universal Inbox also keeps track of tasks in these tools (like assigned issues in Linear) and keeps them in sync with my todo list tool too so that I am confident my todo list is up to date. I’d love to hear your feedback on how useful you find Universal Inbox! What would be missing for your use case?

Visit product View on Hacker NewsJun 18, 2024

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Actual performance

5points

3comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, single, tasks · Missing: mac, agents, macos

80%80% 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.

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

50%50% 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.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

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

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

11%11% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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