
Leadork — B2B Lead Prospecting Platform
Generate B2B sales leads from Google Maps with contact details like phone, website, and email.
@eskayML · X
Lead gen for dummies
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Generate B2B sales leads from Google Maps with contact details like phone, website, and email.
@eskayML · X
Lead gen for dummies

Track and manage your business visibility across Google, ChatGPT, and local listings.
@JDuerden12226 · X
Building in SF!

Generate SEO and GEO-optimized articles to get your brand cited by AI engines and ranked.
@nostrism · X

API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

Browse aggregated news and compare how different outlets report the same stories.
u/Puzzleheaded-Neat548 · Reddit
News Aggregator (Concord) Hey everyone, I'm a computer science student and I've spent the last several months building a project called Concord . The idea came from being frustrated with having to read five or ten different articles just to understand one story. Instead of only aggregating headlines, Concord tries to answer: • What actually happened? • What facts do multiple sources agree on? • What information is still uncertain? • What changed since the story first broke? Some

Track whether Google Gemini, Perplexity, Meta AI, and AI Overviews cite your brand.
@TheFallen_jay · X
added multiple features based on user feedback on

Audit your content's performance for AI-powered search engines.
@BayofDomain · X

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]