Launch Intel
Fr

Fresh premium cannabis delivered as a curated discovery experience

Acquire.com

We are a premium cannabis subscription brand designed for high freshness, high retention, and a curated discovery experience. Over the past several months the business has generated consistent revenue through a wholesale distributor, recording steady monthly sales of $22,500 which validates strong product demand before any direct to consumer launch.

We are a premium cannabis subscription brand designed for high freshness, high retention, and a curated discovery experience. Over the past several months the business has generated consistent revenue through a wholesale distributor, recording steady monthly sales of $22,500 which validates strong product demand before any direct to consumer launch. With a fully built subscription platform, approved high risk payment processing, premium packaging, and a vetted supply chain, positioned for rap...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$95,000

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
89%89% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
46%46% predicted probability of success on AppSumo, 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, subscription · Missing: arr, mrr, profit
32%32% predicted probability of success on Acquire.com, 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: month, monthly · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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