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RRADAR// AI INTEL TERMINAL
LIVE|SAT 28 JUN 2026|247 SIGNALS TRACKED TODAYJOIN WAITLIST →

PRIVATE BETA · SHIPS Q3 2026 · 1,284 ON LIST

Wake up to AI,
not to noise.

One page, every morning. Twenty things in AI that actually moved overnight, summarized in a line so you know whether to click. GitHub repos with real momentum. Papers worth the read. Models worth trying. MCP servers before they trend.

Join waitlist →View today's brief

Free tier forever. Pro from $9/mo when we launch.

TICKER
MCP+2,140 ↑mcp-agent-kit|PAPER+842 cites ↑self-improving-agents|MODEL12k DLs ↑qwen3-coder-32b-gguf|REPO+1,620 ★ ↑browser-use|TREND3 viral ↑32B-quant shift|REPO+980 ★ ↑outlines|MODEL-3.2% ↓llama-3-70b|PAPER+412 cites ↑diffusion-agents|MCP+512 ↑stripe-mcp|REPO+744 ★ ↑letta-memory|MCP+2,140 ↑mcp-agent-kit|PAPER+842 cites ↑self-improving-agents|MODEL12k DLs ↑qwen3-coder-32b-gguf|REPO+1,620 ★ ↑browser-use|TREND3 viral ↑32B-quant shift|REPO+980 ★ ↑outlines|MODEL-3.2% ↓llama-3-70b|PAPER+412 cites ↑diffusion-agents|MCP+512 ↑stripe-mcp|REPO+744 ★ ↑letta-memory|
TODAY'S BRIEFARCHIVEWATCHLISTSEARCH
20 SIGNALS|6M READ|RUN 06:00 UTC
SAT 28 JUN 2026 · TOP 20 BY VELOCITYΣ velocity 18,442 · Δ vs 7d avg +34.2%
#CATΔ 24HNAMEONE-LINE SUMMARY
01MCP+2,140 ★mcp-agent-kitProduction MCP servers in 5 min. Auth, retries, observability baked in. Picked up by Claude Desktop devs after Anthropic engineer reposted.
02PAPER+842 citesself-improving-agentsStanford team shows 41% pass@1 lift on SWE-bench using a small reward model trained on agent rollouts. Code released.
03MODEL12k DLsqwen3-coder-32b-ggufRuns at 18 tok/s on a single M3 Max. Closes most of the gap with Claude 3.5 Sonnet on HumanEval at zero API cost.
04REPO+1,620 ★browser-useWraps Playwright + a vision model so an agent can click, scroll, fill forms with no DOM scraping rules. Beats Stagehand on visual sites.
05TREND3 viralr/LocalLLaMA · 32B-quant shiftThree viral threads showing 32B quantized models matching 70B on real workflows at 1/3 the VRAM. Inference cost narrative is shifting.
06REPO+980 ★outlinesConstrained decoding library. New v0.7 ships sub-millisecond regex compilation. Already pulled into vLLM main branch.
+ 14 more rows · join Pro to read the full brief and archive →
Powered by velocity score v0.4 · refreshed 06:00 UTC dailyPRESS / TO SEARCH · J/K TO NAVIGATE
// PIPELINE

Scan 16 sources. Rank by velocity. Summarize with AI.

0106:00 UTC · running

SCAN

Hourly crawl across GitHub, Hugging Face, arXiv, HN, Reddit, Papers With Code, and 10 more. Every event lands in a typed event store with source, timestamp, raw payload.

EVENTS / 24H128,940
→
02velocity v0.4

RANK

A weighted score ranks every item by 24h delta across stars, forks, contributors, release cadence, citations, downloads, and downstream mentions. Stars alone get you 4% of the weight.

FACTORS WEIGHED11
→
03gpt-4 · claude

SUMMARIZE

The top 20 get one-line summaries. What is it, who is it for, why now. No fluff, no hype, no LinkedIn-isms. Reviewed against an anti-slop prompt I wrote and tuned for months.

AVG TOKENS / ITEM38
// VELOCITY SCORE

Stars are gameable. Velocity is not.

How a repo's 24h velocity score gets calculated. The mix is opinionated, transparent, and tuned monthly against real engineering signal.

Fork delta (24h)
22%
Contributor velocity
18%
Release cadence
14%
Downstream mentions
12%
Issue / PR activity
10%
External installs
10%
Star delta (24h)
4%
Quality signals (CI)
6%
Source reputation
4%
TOTAL WEIGHT100%
NOTE

Papers, models, and MCP servers each have their own factor mix. A model's score weighs downloads, quant variants, and downstream HF spaces. A paper weighs cites per week and GitHub repos that implement it. Same pipeline. Different formulas.

// SOURCES

16 sources, scanned every hour.

Radar pulls signal from where it actually emerges, not just where it gets repackaged. We add sources as they prove they matter.

GitHub● LIVE
Repos, stars, forks, releases
Hugging Face● LIVE
Models, datasets, spaces
arXiv● LIVE
Papers, cites, code links
Papers With Code● LIVE
Benchmarks, leaderboards
Hacker News● LIVE
Engineering signal
Reddit (LocalLLaMA)● LIVE
Community-led model trends
Product Hunt○ PHASE 2
AI product launches
YouTube (researchers)○ PHASE 2
Talks, walkthroughs
X / Twitter○ PHASE 3
Author posts, citations
Dev.to / Medium○ PHASE 3
Practitioner writeups
npm / PyPI○ PHASE 3
Package downloads
MCP registry○ PHASE 3
MCP server signal
Discord (public)○ PHASE 4
Community velocity
Docker Hub○ PHASE 4
Container pulls
VS Code Marketplace○ PHASE 4
Extension installs
Stack Overflow○ PHASE 4
Question / tag trends
// PRICING

Free forever. Pro pays for the brain.

Pick a tier when you join the waitlist. Free is enough for most. Pro pays for the AI summaries, the email digest, and the archive that compounds over time.

FREEPUBLIC
$0/forever

Today's brief, public, daily.

  • Today's top 20 signals
  • One-line AI summaries
  • Category tags
  • Public archive (last 7 days)
Start free →
RECOMMENDED
PROFOR ENGINEERS
$9/mo · $79/yr

For engineers who don't have time to scroll.

  • Everything in Free
  • Email digest at 7am, every day
  • 30-day archive + full search
  • Filter by your stack (Python, TS, RAG, MCP, Voice)
  • Save items to collections
  • No ads, no sponsor slots
Join Pro waitlist →
PRO+FOR TEAMS
$29/mo · $249/yr

For teams, founders, and people building on top.

  • Everything in Pro
  • API access (REST + webhook)
  • Weekly executive PDF report
  • Custom watchlists + alerts
  • Slack / Discord / Telegram integrations
  • Priority support, direct line to Komal
Join Pro+ waitlist →
// WAITLIST

Get the first brief.
Before everyone else.

Tell me who you are and what you want Radar to surface. I read every signup and use it to shape the launch list. When the engine is live, your tier opens first.

No spam. One email when Radar launches. Unsubscribe with a click.

// FAQ

Frequently asked.

> Isn't this just GitHub Trending with extra steps?

GitHub Trending ranks by raw star count which is gameable and lagging. Radar ranks by 24h velocity across stars, forks, contributors, and downstream mentions, and indexes papers, models, MCP servers, and community signal alongside repos. The point is the cross-source view, not the source itself.

> Why pay when AI newsletters are free?

Newsletters are curated by one person's taste at one moment a day. Radar runs continuously, ranks quantitatively, and gives you the archive and search to go back. Free tier is real, not a trap. Pro just removes friction for people who depend on this every morning.

> Who is behind this?

I'm Komal, an AI engineer based in Hyderabad. I built this because I was opening 15 tabs every morning and still missing the things that mattered. Radar is the tool I always wanted. If you want the longer version, my work is at komalvardhan.com.

> When does it launch?

Q3 2026. I'm building in public. Waitlist signups get early access in order. Pro and Pro+ waitlists open before the public tier.

> Can I sponsor the brief?

Eventually, yes. One sponsor slot per day on the free tier, never on Pro. Email komalsrinivasan.l@gmail.com if you want to be on the launch list.

> How is this different from your other products?

Loop is for solo founders to track work. Memora is a private iPhone journal. Radar is the only one of mine built for a paying SaaS audience from day 1. It's the AI intelligence brief I want to charge for.

RRADAR© 2026 · A product by Komal Vardhan Loluguv0.1 · Built in Hyderabad · Bun + Postgres