CRM and sales decision
Subsignal
A lean Reddit-monitoring lead tool is realistic for a single technical user to build and operate, but the full commercial product (polish, integrations, scale, support) is not replaced by this minimal implementation.
Visit website↗Built by Patrick Gerard, who ships 6 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off40 h to build
$0/mo3 h/mo upkeep
No published price to break even against.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Poll Reddit for matching posts/comments → extract contact/lead signals → store and deduplicate leads → notify via webhook/email and present simple lead list UI
What it still won’t have
- Polished UX and product polish
- Proprietary integrations and onboarding flows
- Commercial support and SLA
- Scale and reliability guarantees
- Any paid features not discoverable from the page (advanced analytics, enrichment, model-based scoring)
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Subsignal does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal Reddit-based lead-monitoring service using Python (FastAPI), Postgres, and a simple React admin UI. Core features in scope: 1) scheduled Reddit polling worker using Pushshift/Reddit API configurable by keywords and subreddits, 2) parsers to extract username, post URL, timestamp, and text, 3) deduplication and scoring heuristics stored in Postgres, 4) webhook and transactional email notifications via SendGrid, 5) a React UI to list, filter, and mark leads, 6) background scheduler (e.g., Celery or APScheduler), logging, and basic auth. Out of scope: advanced ML-based enrichment, multi-tenant billing, enterprise integrations, and mobile apps. Include error handling, retries, automated tests for core endpoints/workers, and a README with deployment (Docker Compose) and run instructions.
How we checked
How the score was reached
- Partly verdict base52
- Evidence score52
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 1
Every page the run actually retrieved.
- official productSubSignal | Reddit Monitoring & Sales Lead Generation Tool
Integrity checks
What held up, and what did not.
