Show HN/PG: Our Startup, Philantro.

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Hi everyone, for quite some time we've been building a platform to enhance nonprofit visibility and making giving personal again. We've kept it in stealth mode from fear our equipment wouldn't stand traffic if this gets much attention during development but after this last pitch rejection letter - we're bitter and it's time to just do it. The nonprofit industry needs major disruption. We're growing with nonprofits, now at 201 and our goal is 500 by Spring and 1000 by next Fall. We've added a few ourselves as demos. We're growing with users despite us still being in beta. We would love the community to check it out and give us some feedback. We could also use leads for great nonprofit organizations or investors looking into that space that we can reach out to. We'll lets do this. Bootstrappers Unite :)

Visit product View on Hacker NewsNov 7, 2013

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Indie HackersFits the IH revenue-focused audience · Strong signals: organizations · 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.

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

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit · 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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