Folio.fm – Turn any address into your own DEX front end

Hacker News

Hey, this little app is basically linktree meets crypto, turn any address into a DEX frontend, add your links & customize it with skins (images / yt / tiktok), earn 1% referral fee when users buy off your frontend. some technical details: - this uses Uniswap and Raydium SDKs to slice the extra fees without having to a smart contract wrapper onchain. - it was so much easier to work with EVM compared to solana because of solana account structure but we got it done. - Youtube and Tiktok embeds are used as a backdrop which is great because i don't wanna deal with hosting video. - there is no claims or anything like that, the referral fee is sent in the same TX. - you can also buyAll which will 1 click ape in for an entire folio. - The goal was to build something the blend a bit of the meme culture that enables users to show a bit of personality with existing tools. Lemme know what you think. P.S. it's on ProductHunt front page right now too would love an upvote if you like it. Cheers

Visit product View on Hacker NewsDec 28, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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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 · Strong signals: user · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, video, users · Missing: mobile apps, ios, entrepreneurs

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

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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