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CharityStack|Stripe Atlas for charities|formation, fundraising, banking

Hacker News

CharityStack|Stripe Atlas for charities|formation, fundraising, banking

Hey HackerNews! I'm Mubarrat, one of the founders of CharityStack. CharityStack is a platform for anyone to form a nonprofit, fundraise their first dollar, and set up their bank account. We want to make it seamless for anyone and everyone to start a charity and make an impact. Why build CharityStack? Before CharityStack, my team and I attempted to create a charity and it was an absolutely terrible process. It took us nearly two years, a couple of thousands of dollars, and a bunch of headaches in between. We quickly realized that we weren't the only ones that had this problem, but something widespread whenever anyone attempts to create a charity. With Charity Stack you can: Form your nonprofit: - State Incorporation - Federal EIN - Bylaws - Conflict of Interest Policy - Solicitation of Funds Certificate - 501c3 Application Fundraise your first dollar: - Credit Card Transactions - Bank Transfer - Apple Pay - Google Pay - Paypal & Venmo - Reoccurring Donations Set up your bank account: - Checking Account - Virtual Debit Cards - Physical Debit Cards - Wire, ACH, Checks - Investment Account - FDIC Insured up to $250,000 For a limited time, we're waiving fundraising and banking stack pricing for a year for the first 25 charities, just make sure to sign up on the link below We have a waitlist up on our website here: https://www.charitystack.com/sign-up

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Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% 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: apple, google, stripe · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, profit · Missing: mrr, revenue, saas
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.

Incorrect prediction on native model

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