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Good Here – Find social impact startups and funding

Hacker News

Good Here – Find social impact startups and funding

Good Here (https://goodhere.org/) helps you discover social impact startups, connect with the social impact community, and find social impact funding. Our mission is to highlight the organisations working to solve social issue, focus more attention on progress, directing support to teams on the front lines, and connect the social impact community. We decided to create Good Here after seeing dozens of people go through a similar process of cataloging interesting social impact-focused companies in spreadsheets, blog posts, notes, and elsewhere. The goal is to unify these efforts and provide the content free to anyone who might find it useful. Using Good Here, the social impact community can: - showcase social impact startups through organisation profiles - explore other profiles through our open database - identify social impact funding opportunities - find inspiration and stories of social impact through case studies, blogs and research Our ambition is to become the central place to find, launch and connect with social impact startups and the social entrepreneurs behind them. This is really just the beginning of what we’d like to see the Good Here become. We want to go deeper by including key organisational attributes like headcount, location, investments, and more. There are also plans to increase the breadth of the database by including books, podcasts, events, data sets, and other important resources related to social impact. Upcoming features on the Good Here roadmap include: - bookmark your favourite social impact startups - input your location to find social impacts near you - connect with other social entrepreneurs - see which social impact investors have invested in which startups - activity streams with updates on the progress organisations are making We're grateful to have the support of anyone who believes in what we're doing. Let us know what you think!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
66%66% 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: activity, using, notes · Missing: mac, agents, macos
65%65% 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: ide, io, including · 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.
TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs · Missing: mobile apps, ios, personal
45%45% 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
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
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.

Correct prediction on native model

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