MagicFormula

MagicFormula

AppSumo

Customers are all about MagicFormula, praising its AI-generated formulas, ease of use across different platforms, and precise results. There are a few hiccups like limited browser support and the inability to copy saved prompts, just small bumps on the road.

Customers are all about MagicFormula, praising its AI-generated formulas, ease of use across different platforms, and precise results. There are a few hiccups like limited browser support and the inability to copy saved prompts, just small bumps on the road. Weighing the raves against the occasional grumbles, MagicFormula is hitting the mark and is a solid buy for those in need of mastering spreadsheets and databases with AI. With an overall 5-star rating and a 60-day money-back guarantee, it's worth giving it a try.

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Actual performance

11reviews
Did not reach leaderboard

Traction signals

Rating3.9 / 5
Purchases370

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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
51%51% 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
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, occasional · Missing: plus, intuitive, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 · Missing: arr, mrr, revenue
22%22% 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
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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