Biofolio

AppSumo

Customers appreciate Biofolio for its diverse templates, no-code customizer, and unlimited domains/pages. Some users faced challenges with slow loading times and issues with color and module updates.

Customers appreciate Biofolio for its diverse templates, no-code customizer, and unlimited domains/pages. Some users faced challenges with slow loading times and issues with color and module updates. Despite these minor drawbacks, Biofolio is a solid buy for those in need of a portfolio link-in-bio solution. With a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoJan 22, 2024

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Actual performance

10reviews

Did not reach leaderboard

Traction signals

Rating2.2 / 5

Purchases182

Launch Intel predictions

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

81%81% 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.

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

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, code · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

36%36% 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

23%23% 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

20%20% 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

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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