Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AIDevGTM/gtm-cofounder --skill 09-first-50-usersgit clone --depth 1 https://github.com/AIDevGTM/gtm-cofounderWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aidevgtm/gtm-cofounder/09-first-50-users)<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/09-first-50-users"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/09-first-50-users/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aidevgtm/gtm-cofounder/09-first-50-users"><img src="https://agentmods.dev/badge/skills/aidevgtm/gtm-cofounder/09-first-50-users.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00942 |
| Opus 5 | $0.00026 | $0.00471 |
| Sonnet 5 | $0.00010 | $0.00188 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
first-50-users scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your first 50 users
You don't get your first 50 users by posting more. You get them by going where your users already discover tools, and, at the start, by doing things that don't scale.
Use this when: you launched to silence, you're spraying every channel hoping one works, or you're about to buy ads to fix a problem ads can't fix.
The core idea
Every developer audience has an existing technology-discovery loop: the specific places they already go to find new tools. Your job isn't to invent demand; it's to position yourself inside that loop. And your first cohort is hand-to-hand: the TAB members from talk-to-users are your first users.
Framework: the top of the DREAM funnel (Frankl)
- Discovery: be where developers look: the communities, newsletters, influencers, and searches your ICP already uses. Metric: unique humans, not pageviews.
- Research: give the interested dev a next step before they forget you: newsletter, Discord, free tier, docs. Developers can sit in Research for months, so sustain the relationship.
Then Evaluation decides everything (see know-if-its-working): can a new dev get value over a weekend, from docs and Stack Overflow, with no support call? If not, more traffic just fills a leaky bucket.
Framework: channels by stage (Czakon)
Pre-PMF (you are here for the first 50): unscalable, direct, high-touch.
- The people who posted about the problem (HN/Reddit/GitHub issues/X), DM them, personally.
- Your TAB → convert to design partners / first users.
- Founder posting genuinely useful things where the ICP hangs out (not "we launched!").
- One deep launch (see
launch-it), not ten shallow ones.
Post-PMF (later): content/SEO, community, dev-influencer partnerships, then paid to amplify what already converts, never to discover it. And once the first 50 are in and retention holds, the hand-to-hand work graduates: build the self-reinforcing engine in growth-loops.
How to pick the channel (don't do all of them)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 61 lines · 51 tokens per session scan A aa39f281010c
first-50-users is a skill published in the GitHub repository AIDevGTM/gtm-cofounder (274 stars, last pushed 3d ago), licensed MIT. It adds 51 tokens to every session and 942 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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