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Patterns, an Financial Operating System for Your Company

Hacker News

Patterns, an Financial Operating System for Your Company

Title: Show HN: Patterns, a Financial Operating System for Your Company Hi HN, [Update]: here's my URL: https://www.getpatterns.io/ I'm excited to share Patterns, a SaaS product designed to simplify complex financial operations for companies. Inspired by challenges I faced during my tenure at Amazon and Flexport—like a 3-day deep dive into a $0.50 accounting error and consistent billing discrepancies—I've built an alpha version of Patterns to address these costly inefficiencies. Though we didn't make it into YC and I parted ways with my initial co-founder, the vision for Patterns has evolved into a live product. I'm now inviting companies to join our alpha and help shape the future of financial operations. I'm also looking for a co-founder who's passionate about solving these problems. If you're interested in trying out Patterns or discussing co-founding, you can reach me via calendly: https://calendly.com/xin-shen0/30min . Your feedback is crucial to making Patterns a tool that can save time and prevent revenue leakage for businesses everywhere.

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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 · Missing: supports, reddit linkedin, podcasting
74%74% 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 · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
51%51% 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
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, saas · Missing: arr, mrr, profit
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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