I

I realized GraphQL is not an improvement

Hacker News

I realized GraphQL is not an improvement

curl ' https://mavely.live/ ' --data-raw ' {"query":"mutation ($v1:String!){createAffiliateLink(url:$v1) {id,link,metaDescription,metaTitle,metaImage,metaUrl,metaLogo,metaSiteName,metaVideo,brand{id,name,slug}, originalUrl,canonicalLink,attributionUrl}}", "variables":{"v1":" https://www.belk.com/p/skechers-mens-slip-ins-relaxed-fit-sn... "}}' because https://mavely.live/link -d '{"url": " https://www.belk.com/p/skechers-mens-slip-ins-relaxed-fit-sn... "}' is just too easy to understand.

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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
36%36% predicted probability of success on Product Hunt, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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