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Current Signal — Q2 2026
mlflow shows -56% commit velocity change with 100 active contributors (+0% growth). Signal type: Framework migration. 2 new repositories created in the last 30 days. Trend vs. prior quarter: decelerating (was +11% in Q1 2026).
Data sourced from public GitHub activity. Read our methodology
Commit Velocity (14d)
184
Velocity Change
-56%
Contributors
100
+0% growth
New Repos (30d)
2
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Projected lead-time window
no active window
Projected next milestone
Platform or stack transition
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Unlock with email →Projections are model estimates derived from each org's public commit signal and the SSRN-published methodology — not statements of fact. Cross-reference with primary sources before acting.
| Period | Velocity (14d) | Change | Contributors | Growth | New Repos | Signal |
|---|---|---|---|---|---|---|
| Q2 2026 | 184 | -56% | 100 | +0% | 2 | Framework migration |
| Q1 2026 | 414 | +11% | 100 | +0% | 2 | Framework migration |
| Q4 2025 | 214 | -13% | 100 | +0% | 2 | Framework migration |
| Q3 2025 | 211 | +21% | 100 | +0% | 2 | Framework migration |
mlflow shows general engineering acceleration that classifies as a framework migration. This often indicates a technology stack transition — moving from a prototype to production infrastructure, or adopting new tooling.
Framework migrations are the subtlest signal type but can indicate the shift from exploration to exploitation — a key milestone in startup development that often precedes fundraising.
As of Q2 2026, mlflow shows a "Framework migration" signal with -56% commit velocity change over a 14-day window, 100 active contributors, and +0% contributor growth. This indicates a technology stack transition, which often precedes a pivot or platform upgrade.
VC Deal Flow Signal does not predict specific funding rounds. However, mlflow's engineering acceleration pattern (-56% commit velocity change in Q2 2026) is the type of signal that has historically preceded fundraise announcements by three to six weeks. Investors should cross-reference this signal with other sources (Crunchbase, hiring activity, community mentions) before drawing conclusions.
mlflow is tracked in our AI & Machine Learning sector rankings for Q2 2026. View the full sector ranking at signals.gitdealflow.com/startups-to-watch/ai-ml-q2-2026 to see how it compares on commit velocity, contributor count, and signal type against other ai & machine learning startups.
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