Monitoring active

High-fidelity user signals.
Extracted from the noise.

GrepPM is an AI agent that scrapes Reddit, Twitter, and niche forums for product mentions, runs LLM-powered analysis, and delivers a structured weekly digest — so you never miss a bug report or feature request again.

inbox — greppm digest
Your Weekly Signal Report — YourApp
Mon, Mar 30 · 247 mentions23 signals
BUG "SSO login fails silently on Safari 18 — no error, just redirects back" r/webdev
BUG "CSV export truncates after 10k rows, confirmed by 3 users" r/SaaS
FEATURE "Slack integration for real-time alerts would save us a ton of time" Twitter/X
FEATURE "API rate limiting dashboard — need visibility into usage patterns" HN
VS "Switched from CompetitorX — their webhook reliability is way worse" r/devtools

Your users are talking.
You're just not in the thread.

Every week, your users post bug reports on Reddit, request features on Twitter, and compare you to competitors in niche forums. Most of this feedback never reaches your backlog.

Manual monitoring doesn't scale. You're juggling 12 tabs, skimming threads, and still missing the one comment that describes a critical edge-case bug — the kind that churns your highest-value accounts.

The cost isn't just the missed signal. It's the latency between user pain and your response — the weeks it takes before a pattern surfaces through support tickets, long after users have already formed an opinion.

73%
of user feedback is posted outside your owned channels
~500
comments per popular Reddit thread to sift through manually
2.4×
faster response when using automated signal monitoring
$0
is what most teams budget for external feedback aggregation

Scrape. Analyze. Digest.
Every Monday in your inbox.

01

Scrape

GrepPM crawls Reddit, Twitter/X, and niche forums continuously. You define the product names, competitor handles, and keywords.

02

Analyze

An LLM pipeline classifies every mention — bug report, feature request, praise, complaint, competitor comparison — with high-fidelity semantic filtering.

03

Digest

A structured email lands in your inbox. Prioritized, categorized, and linked back to the original thread. No dashboard. No login required.

Signal extraction,
not noise amplification.

Semantic Filtering

Distinguishes a meme from a critical bug report. GrepPM's LLM layer understands context, sarcasm, and technical severity — so your digest contains only actionable signals, not raw data.

llm-powered

Competitor Intel

Track what users say about Competitor X versus your product. Automated comparison mentions surface positioning gaps and feature requests that your roadmap should address.

market-sensing

Zero Dashboard Fatigue

No new tab to check. No login to another tool. GrepPM delivers a weekly email digest — structured, prioritized, and skimmable in under 3 minutes.

inbox-first
P
"I spent years as a Senior Engineer building products where the PM would mention a Reddit thread two weeks after it went viral. Critical bugs buried under memes, feature requests lost in 500-comment threads. I built GrepPM because I was tired of the feedback loop being broken by noise. It started as a weekend script. It's now the tool I wish every team I'd worked on had from day one."
— Pavel Latyshev · Senior Engineer & Founder

One plan. No complexity.

Per product tracked
$29/mo
Billed monthly · Cancel anytime
  • Automated Reddit, Twitter/X, and forum scraping
  • LLM-powered semantic classification
  • Weekly structured email digest
  • Competitor mention tracking
  • Unlimited team members on digest
  • Direct links to original threads

Stop screening noise.
Start shipping signal.

Set up GrepPM in under 5 minutes. Your first digest arrives next Monday.

Start Tracking Signals