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I've ditched paper todo lists

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I've ditched paper todo lists

My wife and I used to manage household tasks on paper sheets. We would do a big brain dump, then over time the list would get messy: tasks moved to another month, some were forgotten, and eventually we had to start over on a new sheet. The main problem was that most of our tasks did not really have due dates. Once everything was mixed together, the list became hard to scan and easy to ignore. So I built Puranno for us: a shared task planner where undated tasks live in one clean list, and you only drag something onto a specific day when it actually needs a date. You can also assign tasks to each other so it is clear who is responsible for what. It is meant to be simpler to scan and more usable than paper for day-to-day home planning. Would love feedback.

Visit productView on Hacker NewsMar 25, 2026
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: wife · Missing: supports, reddit linkedin, podcasting
61%61% 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.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, tasks · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
48%48% 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
44%44% 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
17%17% 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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