The first community-built Cognithor pack shipped on February 18. Thirty days later it had 47 sales and $2,670 in gross revenue — $1,920 after Gumroad and Cognithor's splits, paid out to the creator on Net-30 terms.
That is not enormous money. It is enough money to notice. More importantly, it is the first real data point that the creator marketplace model might work on a local-first agent OS.
Here is what the build actually looked like.
What the pack does
Reddit Lead Hunter Pro watches a list of subreddits for posts that look like buying signals — someone complaining about a competing product, someone asking "does anything do X?", someone describing a workflow that your product solves. When it finds one, it scores the lead, drafts a non-salesy reply, and drops both into a local CRM spreadsheet. The user approves the reply before it posts.
The important part is what it does not do. It does not scrape Reddit — it uses the public JSON feed endpoints. It does not send anything to a cloud service. It does not train on your CRM. It runs on your laptop against a local model you already installed.
How it was built
The pack is 47 files totaling 6.2 MB. Most of that is the CRM schema, the prompt library, and the onboarding wizard. The actual agent logic is about 900 lines of Python split across five MCP tool implementations and a handful of skill markdown files.
The pack manifest declares five tools:
reddit_scan— poll subreddits, return new postsreddit_score_leads— classify posts as hot / warm / cold / noisereddit_reply— draft a reply in the creator's voicereddit_crm_upsert— write the lead into the vaultvault_write— the standard vault primitive (permission: write inside pack scope)
Each of those is maybe 150–250 lines of actual code. The manifest lists them explicitly so the Tool Enforcer allowlist knows the pack may call them and nothing else. Attempting to call a tool outside the list is a Gatekeeper RED and blocks the PGE loop.
What took the longest
Not the code. The code was six hours total across two evenings.
Rate-limit handling took longer than the scanner itself. Reddit's public JSON feed does not return 429s reliably; it sometimes just returns an empty listing. The scanner now keeps a per-subreddit backoff and a minimum-interval cache in the vault so repeated runs do not burn the feed.
Lead scoring quality was the biggest prompt engineering problem. The first version flagged everything with "I hate [competitor]" as a lead — including people venting about customer service, which is not a buying signal. The final version has a four-dimensional scoring rubric (pain signal, budget signal, authority signal, urgency signal) and a calibrated threshold. False positives dropped from ~40% to ~8%.
False positives are expensive because every false positive eats the creator's time to review and discard. Getting that number below 10% was what made the pack actually usable daily.
The numbers
Thirty-day stats from the creator dashboard:
- 47 paid installs at $79 each
- $2,670 gross revenue
- $8.00 Gumroad fee per sale (~10%)
- $14.20 Cognithor platform cut per sale (20%)
- $56.80 net per sale to the creator
- $2,670 × 72% → $1,920 total creator payout on Net-30
Not every buyer stuck around. Seven refunded within the 14-day window — when a refund happens, both Cognithor and the creator return their cut; Gumroad keeps nothing. The remaining 40 buyers are still running the pack a month later based on the usage ping in the public registry.
The pack got two feature requests, both reasonable: multi-language support (Spanish subreddits) and a "do not reply on weekends" scheduler. Both landed in version 1.2.0.
What this proves
One pack is not a marketplace. Forty-seven sales is not a business. What this does prove is that the economic model — 70% to the creator, 20% to Cognithor, 10% to Gumroad, paid monthly, no exclusivity — is not theoretical. It works in practice, at small scale, with real money, for a pack that took a long weekend to build.
The Phase 2 creator marketplace opens in Q4 2026. The waitlist is on the Publish page. If you were wondering whether to draft a pack idea, this is the signal that yes, somebody is buying these.
What comes next
Version 1.3.0 of Reddit Lead Hunter Pro is in testing — it adds a competitor tracking mode and a sentiment filter. The creator keeps 70% on every new install. The maintainer keeps making improvements. The buyers keep owning the version they paid for forever.
That is the whole shape of the marketplace we are building.