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Get Started Free →Turn developer love into revenue by enabling champions and choosing a GTM model. Use when developers adopt the free tier but nobody pays, when the user is cold-selling the VP instead of arming the developer, or when picking between open-source, PLG, inbound, and sales-led.
.claude/skills/aidevgtm-market-to-devs-sell-to-buyers/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 31% | 0% |
> The developer who adopts your tool is almost never the person who pays for it. Win the developer's heart; then hand them the ammunition to win the budget conversation for you.
Use this when: you have stars, signups, and a beloved free tier, and a revenue line of zero.
Market to developers, sell to decision-makers. Developers evaluate and adopt; buyers (CTO/VP/procurement) approve money. Your growth engine is the developer champion who sells internally, so your job is to make them look smart to their boss.
Pick the one that fits your product and ICP; don't run all four half-heartedly.
| Model | Fits when | The motion | |---|---|---| | Open source | infra/dev-tool, trust & inspectability matter | OSS core → adoption → paid cloud/enterprise | | PLG / self-serve | fast time-to-value, dev = buyer for small teams | free tier → usage → expand → sales-assist on big accounts | | Inbound | you can own the problem's content/SEO | educate on the problem → capture → nurture | | Sales-led / ABM | high ACV, complex enterprise, few big logos | target named accounts, land via a dev champion |
Most dev tools are PLG + a sales-assist overlay for the accounts worth a human.
Give the developer what they need to sell up:
value-prop-that-converts.Persona → sale map (Frankl): Alpha Dev finds & advocates → VPE/SRE validate feasibility → Empowered CTO approves budget → procurement handles terms (late, enterprise only). A complex sale needs a "what's in it for me" for each. Nail one persona and you get great meetings and no decisions.
Has the developer hit real, repeated value (Activation)?
├─ NO → too early. Gating now kills adoption. Keep delivering value.
└─ YES → is this a small team (dev controls spend)?
├─ YES → self-serve upgrade in-product; keep it frictionless.
└─ NO → trigger sales-assist: help the champion build the internal case.> Close your first $1M yourself. Don't hand off sales before you've done it. Teaching a rep is far harder than teaching a founder who's felt the objections firsthand (Frankl).
Built from real dev-tool GTM experience, with frameworks from Adam Frankl (The Developer-Facing Startup) and Jakub Czakon (markepear.dev). When a framework can't make the call, that's what a human is for: The DevTool GTM Company.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 45,516 | 18,390 | -60% | 1 | 1 | 0% | 3,443 | 3,597 | +4% | 0 | 0 | — |
case-02 | fail→pass | 20,400 | 18,423 | -10% | 1 | 1 | 0% | 2,992 | 3,677 | +23% | 0 | 0 | — |
case-03 | fail→pass | 18,482 | 16,152 | -13% | 1 | 1 | 0% | 2,558 | 3,068 | +20% | 0 | 0 | — |
case-04 | fail→pass | 22,621 | 17,038 | -25% | 1 | 1 | 0% | 3,073 | 3,328 | +8% | 0 | 0 | — |
case-05 | pass→pass | 17,289 | 14,149 | -18% | 1 | 1 | 0% | 2,421 | 3,073 | +27% | 0 | 0 | — |
case-06 | fail→fail | 19,306 | 18,528 | -4% | 1 | 1 | 0% | 2,663 | 3,421 | +28% | 0 | 0 | — |
case-07 | pass→pass | 19,638 | 20,584 | +5% | 1 | 1 | 0% | 2,798 | 3,819 | +36% | 0 | 0 | — |
case-08 | pass→pass | 19,107 | 15,532 | -19% | 1 | 1 | 0% | 2,959 | 3,233 | +9% | 0 | 0 | — |
case-09 | fail→pass | 19,959 | 14,518 | -27% | 1 | 1 | 0% | 2,671 | 2,880 | +8% | 0 | 0 | — |
case-10 | fail→fail | 14,953 | 11,914 | -20% | 1 | 1 | 0% | 2,172 | 2,767 | +27% | 0 | 0 | — |
case-11 | pass→pass | 16,698 | 16,281 | -2% | 1 | 1 | 0% | 2,627 | 3,471 | +32% | 0 | 0 | — |
case-12 | fail→fail | 17,925 | 13,795 | -23% | 1 | 1 | 0% | 2,522 | 3,126 | +24% | 0 | 0 | — |
case-13 | fail→fail | 18,987 | 19,236 | +1% | 1 | 1 | 0% | 2,787 | 3,701 | +33% | 0 | 0 | — |
case-14 | pass→pass | 17,755 | 15,987 | -10% | 1 | 1 | 0% | 2,974 | 3,447 | +16% | 0 | 0 | — |
case-15 | fail→fail | 24,138 | 18,613 | -23% | 1 | 1 | 0% | 3,922 | 4,115 | +5% | 0 | 0 | — |
case-16 | pass→pass | 22,451 | 26,277 | +17% | 1 | 1 | 0% | 3,846 | 5,209 | +35% | 0 | 0 | — |
case-17 | fail→pass | 17,229 | 34,158 | +98% | 1 | 1 | 0% | 2,462 | 3,236 | +31% | 0 | 0 | — |
case-18 | pass→pass | 18,069 | 14,488 | -20% | 1 | 1 | 0% | 2,334 | 2,999 | +28% | 0 | 0 | — |
case-19 | pass→pass | 16,324 | 14,456 | -11% | 1 | 1 | 0% | 2,234 | 2,948 | +32% | 0 | 0 | — |
case-20 | pass→fail | 17,064 | 14,143 | -17% | 1 | 1 | 0% | 2,210 | 2,739 | +24% | 0 | 0 | — |
case-21 | pass→pass | 21,666 | 18,310 | -15% | 1 | 1 | 0% | 3,038 | 3,507 | +15% | 0 | 0 | — |
case-22 | fail→pass | 17,284 | 14,596 | -16% | 1 | 1 | 0% | 2,181 | 3,014 | +38% | 0 | 0 | — |
case-23 | pass→pass | 15,480 | 13,864 | -10% | 1 | 1 | 0% | 2,250 | 2,954 | +31% | 0 | 0 | — |
case-24 | fail→pass | 17,038 | 11,827 | -31% | 1 | 1 | 0% | 2,419 | 2,589 | +7% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 24 cases were attempted. The headline lift of +25 percentage points is the difference between those two pass rates over the 24 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.