Brave Search API

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Brave Search API

Today, we're releasing the Brave Search API for public access. The Brave Search API is the backbone of our independent search engine, and we're excited to provide a competitive alternative to Big Tech. We hope to serve customers ranging from independent developers to large companies. Brave Search recently became 100% independent for Web search ( https://brave.com/search-independence/ ), removing any remnant calls to Microsoft Bing in order to rely fully on our own index. Our search index is updated with millions of new pages from the Web every day. Search results are of high quality, surfaced from a clean and independent index. The Web Discovery Project ( https://support.brave.com/hc/en-us/articles/4409406835469-Wh... ) helps ensure real data is being added, not dead links, SEO spam or other content. The Brave Search API offers plans for projects of all sizes. Developers making less than 2,000 queries per month can use the API for free. We've broken down subscriptions into 3 categories: * Data for search - for traditional search-related use cases * Data for AI - for training AI models for inference * Data with storage rights - for caching or storing data to train AI Models All subscriptions include access to Web search, video cluster, news cluster, Goggles, autocomplete and spellcheck. Pro-level subscriptions will also include extra Web or AI snippets, schema-enriched Web results, Discussions and more. If you're a large company and think you may need a custom, enterprise-level subscription, please reach out to bizdev@brave.com. As always, feedback on this is welcome, whether that's via Twitter, https://community.brave.com or support@brave.com Register now for API access: https://api.search.brave.com/register

Visit product View on Hacker NewsMay 31, 2023

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

91%91% 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, new, models · Missing: mac, agents, macos

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

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, 000 · Missing: https docs, just released, exist

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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.

Correct prediction on native model

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