Feed aggregator
I built an identity graph for AI agents – 330M+ verified records.Break the API
AI agents hallucinate B2B data because they have no ground truth. I built one. Nopp's Entity Graph pulls from NPPES practitioner data, 40+ state licensing boards, ODO corporate registries, and regulatory filings. Nothing scraped. Nothing inferred. Every entity is deterministically verified. The API surface I want you to stress-test: Entity Graph
POST /api/v1/identify — name, NPI, or LinkedIn URL → verified canonical entity (10 IC) GET /api/v1/people/:id — fetch a resolved person record (3 IC) POST /api/v1/people/search — filter 12M+ licensed professionals by state, city, credential (10 IC) GET /api/v1/organizations/:id — fetch an org record (3 IC)
Intelligence
POST /api/v1/company/enrich — live enrichment, falls back gracefully, never returns empty (10 IC) POST /api/v1/contact/enrich — contact-level deep enrichment (3 IC)
Signals
POST /api/v1/signals/hiring — detect hiring surges (15 IC) POST /api/v1/signals/funding — funding round detection (15 IC) POST /api/v1/signals/intent — competitor frustration + intent signals (20 IC)
Agents
POST /api/v1/agent/launch/companies — autonomous research + outreach in one call (50 IC)
Also ships as an MCP Server — connect Claude, ChatGPT, or any MCP-compatible agent directly. No API calls, no plumbing. What I want from you:
Feed /identify ambiguous or conflicting inputs — same person, two LinkedIn URLs, different name spellings Try to get /company/enrich to return empty or wrong data Test /signals/intent against a company you know well — does it catch real signals? Tell me where the schema is wrong, underdocumented, or just annoying to work with
Find a reproducible bug or a real schema issue → I'll give you free Intelligence Credits. No cap. nopp.us/api-docs | nopp.us/developers I'm the founder. I'll reply to every technical comment personally.
Comments URL: https://news.ycombinator.com/item?id=47329246
Points: 1
# Comments: 0
The hobby that AI is ruining for its fans
Article URL: https://www.vox.com/the-highlight/480106/ai-jigsaw-puzzles-artificial-intelligence-genai
Comments URL: https://news.ycombinator.com/item?id=47329243
Points: 1
# Comments: 1
Donut Lab solid-state battery retains 97.7% charge after 10 days in third test
Article URL: https://electrek.co/2026/03/09/donut-lab-solid-state-battery-self-discharge-test-vtt/
Comments URL: https://news.ycombinator.com/item?id=47329242
Points: 1
# Comments: 0
America's never had such high national debt heading into an economic shock
Article URL: https://fortune.com/2026/03/10/national-debt-100-percent-of-gdp-crisis-break-glass-plan-crfb-report/
Comments URL: https://news.ycombinator.com/item?id=47329238
Points: 4
# Comments: 0
The Biggest Identity Sandpiles and How to Compute Them
Article URL: https://eavan.blog/posts/big-identity-sandpiles.html
Comments URL: https://news.ycombinator.com/item?id=47329229
Points: 1
# Comments: 0
Harvard Business Review Study Finds 'AI Brain Fry' Is Leaving Workers Mentally Fatigued
Look Out Below! A 1,300-Pound NASA Satellite Is on Its Way Back to Earth
Create a security compliance plan for the data center that includes various standards, audit schedules, and 2026 AI governance and sustainability reporting requirements.
150 Years After the First Phone Call, We're Still Looking for 1-on-1 Connections
4 Ways to Naturally Ease Anxiety-Related Chest Pains
Mullvad’s New WireGuard Implementation Put to the Test in Latest Audit
AT&T Outlines $250 Billion US Investment Plan To Boost Infrastructure In AI Age
Today's NYT Connections: Sports Edition Hints and Answers for March 11, #534
Iowa Payphone Defends Itself (Associated Press, 1984)
Article URL: https://www.payphone-project.com/iowa-payphone-defends-itself-ap-story-from-october-1984.html
Comments URL: https://news.ycombinator.com/item?id=47328104
Points: 1
# Comments: 0
Today's NYT Strands Hints, Answers and Help for March 11 #738
Today's NYT Connections Hints, Answers and Help for March 11, #1004
Today's Wordle Hints, Answer and Help for March 11, #1726
Show HN: Quick Look Source Code in Finder on macOS
Article URL: https://anybox.ltd/source-code-preview
Comments URL: https://news.ycombinator.com/item?id=47328083
Points: 1
# Comments: 0
Against Vibes: When Is a Generative Model Useful
Article URL: https://www.williamjbowman.com/blog/2026/03/05/against-vibes-when-is-a-generative-model-useful/
Comments URL: https://news.ycombinator.com/item?id=47328071
Points: 1
# Comments: 0
Show HN: KaraMagic – automatic karaoke video maker
Hi all, this is an early version of a side project of mine. Would love some feedback and comments.
I like karaoke and I grew up with the Asian style karaoke with the music video behind and the karaoke lyrics at the bottom.
Sometimes I want to do a song and there is no karaoke version video like that.
A few years ago I came across ML models that cleanly separate the vocals and the instrumental music of a song. I thought of the idea to chain together ML models that can take an input music video file, extract the audio (ffmpeg), separate the tracks (ML), transcribe the lyrics (ML), burn the lyrics back with timing into the video (ffmpeg), and output a karaoke version of the video.
This is an early version of the app, Mac only so far (since I use Mac, despite it being an electron app.. I do eventually want to make a Windows build), I've only let a few friends try it. Let me know what you think!
Comments URL: https://news.ycombinator.com/item?id=47328060
Points: 1
# Comments: 0
