An

Ancestree – Give your family members biographies

Hacker News

Ancestree – Give your family members biographies

Every time I talk to my older family members, especially my grandparents, I find out a new super interesting fact about them. Last week: my Croatian grandfather served in the French marine corps... Not worth mentioning I guess. I realized that these stories are passed down only by re-telling them. Just think about how much you don't know about your family from 2 generations ago. For this reason, I created ancestree.marindedic.com It's a really cool family tree creation app, where each person gets their own book. Inside it, write what they did, what happened to them, what they were like... whatever you want. Little biographies of your loved ones. Apart from exporting normal and detailed versions of your family tree, you can even export someone's chapters as one long biography. Of course, open-sourced, no account, no server. Nothing you draw or write ever leaves your browser.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
87%87% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
53%53% 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 HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
15%15% 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.

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