Status basis: npm_downloads_7d momentum fell to -1687 per 3d from 302 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -1687 per 3d from 302 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -1687 per 3d from 302 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -1341 per 3d from 601 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -933 per 3d from 17 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -983 per 3d from 17 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 601 in the last 3d vs 62 in the 3d before (ratio 9.7x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 17 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 17 per 3d from 1141 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 601 in the last 3d vs 62 in the 3d before (ratio 9.7x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 17 per 3d from 1968 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 62 per 3d from 1788 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 646 per 3d from 1788 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 1788 in the last 3d vs 888 in the 3d before (ratio 2.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 1840 in the last 3d vs 807 in the 3d before (ratio 2.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 1354 in the last 3d vs 573 in the 3d before (ratio 2.4x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 1380 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 116.0 is 3.5 standard deviations from this entity's own prior mean (-619.6±210.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 116.0 is 3.5 standard deviations from this entity's own prior mean (-619.6±210.2, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | github | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
By unlocking user-driven innovation, it shifts product development from top-down to collaborative, boosting engagement and speed.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“it acts through your product's own API as the signed-in user, and renders the UI it generates”— readme
“Claude Code, Cursor, GitHub Copilot, OpenAI Codex, Windsurf”— readme
FAQ
What is Vendo (YC S26)?
A platform that lets SaaS product teams enable users to add custom features, turning users into co-developers.
What does Vendo (YC S26) do?
Enable users to add their own features to solve slow iteration and delayed response to user needs.
Why does Vendo (YC S26) matter?
By unlocking user-driven innovation, it shifts product development from top-down to collaborative, boosting engagement and speed.
Is Vendo (YC S26) open source?
Yes — Vendo (YC S26) is open source.
What does Vendo (YC S26) integrate with?
github
How popular is Vendo (YC S26)?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-07-15).
What are the best Vendo (YC S26) alternatives?
Similar AI agents tracked by KanonAgent: Stealth Company, Anonymous Startup, hermes-agent, AutoGPT, Anonymous Startup, Confidential Startup.