On

OneDonation – A Social Network to Help Connect Donors and NGOs

Hacker News

OneDonation – A Social Network to Help Connect Donors and NGOs

Hello HN, I am a 15-year-old developer from Mumbai. I have developed an app called OneDonation, which is a platform to match donors with NGOs in order to facilitate donations all over India. OneDonation helps NGOs find donors, while subsequently helping donors find charitable causes to donate to. Several prominent NGOs are already on the platform. Please sign up and join if you are keen to contribute towards social change and would like to know more about NGOs doing meaningful work. If you know any NGOs please do share this message with them so they can join the app to share their work with potential donors. The app has been released on both Android and iOS platforms. This is the link to the android app: https://play.google.com/store/apps/details?id=com.raghavnautiyal.onedonation. This is the link to the iOS app: https://apps.apple.com/app/id1547931891.

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Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
78%78% 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: ios, apps, google · Missing: mobile apps, personal, entrepreneurs
64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos
18%18% predicted probability of success on Product Hunt, 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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