UN

UN Volunteers Opportunities Dashboard

Hacker News

UN Volunteers Opportunities Dashboard

Hey I wanted to share a website i've made. It'a redesign of the UNV ( United Nations Volunteers ) Dashboard. I quit my job lately to take some sort of a gap year. I've been pondering between working in the non-profit sector, or trying to make my own little business. This is a little step towards both ideas :) I'm trying to get used to ship things, and also do things just to be useful. The original UNV dashboard has pretty bad UX, so I hope my version can help make people finding a volunteering opportunity a less stressful endeavour. It's not perfect, but I intend to keep making it better. https://volunteerwiththeun.com/ cheers <3

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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
54%54% 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 · 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
41%41% 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
38%38% 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
18%18% 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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