Klipy – AI GIFs, Clips, GIFs, Memes and Stickers API with Monetization

Hacker News

Hey HN, Over the past two years, my co-founder and I have been building https://KLIPY.com — an API of 10m+ GIFs, AI GIFs, Clips, Stickers, and Memes, focused on efficiency and monetization. Unlike GIPHY/Tenor, our goal was to create a cost-efficient infrastructure that allows platforms to integrate GIFs seamlessly while generating revenue for content creators and platforms - and keeping the API free forever, unlike GIPHY. The process is straightforward: * Platforms integrate our API and enable our Revenue API (optional) * Ads are placed between content, ensuring high CTRs while maintaining a UX-friendly experience * This unlocks new exclusive ad inventory for the market, allowing apps to generate more revenue than traditional ad placements Currently, our infrastructure handles 4 billion requests per month (content API requests + revenue API requests to and from ad networks) while keeping server costs under $1500. We've already integrated with several platforms, including Ridmik, Fleksy, iMe Messenger, and others. Additionally, we’re live on Slack, Canva, Figma, Integrately, and RapidAPI, with bigger names coming soon. I'd be happy to provide a lifetime free API key to anyone interested in integrating our features, with or without the revenue API. * API Docs: https://klipy.com/developers * Demo Video: https://youtu.be/HOwNz_kXBSc P.S. Our goal after next funding round is to develop an AI model that generates short and long-form media content for various purposes. If you’re interested in collaborating, let’s chat! Would love to hear your thoughts and feedback!

Visit product View on Hacker NewsFeb 17, 2025

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

93%93% 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: model, slack, apps · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% 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: platform, exclusive, friendly · Missing: plus, intuitive, reviews

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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