AI Web Search with Bagoodex API

Hacker News

Hi HN! We built an AI Web Search API that provides text, link sources, videos and images when answering queries. The project started when my team and I were frustrated with the fragmented nature of existing search APIs. We wanted something comprehensive but also modular. What makes this different is the dual approach: you can use it as a single all-in-one model API, or access its individual components separately (links, images, videos, weather, location search). The core innovation is our "structured knowledge base" API that can summarize information you provide. You can try it at our playground: https://aimlapi.com/app/ Documentation is available here if you're interested in how it works: https://docs.aimlapi.com/api-overview/web-search-models/bago... I'd love to hear your feedback and answer any questions!

Visit product View on Hacker NewsFeb 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, single · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

49%49% 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.

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.

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

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

Incorrect prediction on native model

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