Brandflows – Connecting indie brands and stores through offline popups

Hacker News

Hi HN! I'm Alex, the founder of Brandflows. Brandflows is a platform connecting independent brands with creative stores for real-world collaborations like pop-ups, co-branding, and in-store activations. Brands can showcase themselves and find retail spaces to collaborate with. Stores can discover unique brands to host pop-ups and fresh activations. I just launched the MVP (built with Bubble) and am looking for early feedback! No signup needed to browse the public showcases — feel free to take a look and let me know what you think! https://brandflows.co/ Thanks so much for checking it out!

Visit product View on Hacker NewsApr 22, 2025

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

43%43% 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

37%37% predicted probability of success on TrustMRR, 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

25%25% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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