Project-AgML
AgML is a comprehensive library for agricultural machine learning.
Current Signal, Q3 2026
Project-AgML shows +136% commit velocity change with 4 active contributors (+121% growth). Signal type: Engineering hiring burst.
Engineering acceleration is a sustained rise in a startup's public GitHub output - commits, contributors, new repositories, relative to its own baseline. It is a quantitative signal computed from public data, unrelated to accelerator programs.
Data sourced from public GitHub activity. Read our methodology
Engineering Metrics, Q3 2026
Commit Velocity (14d)
33
Velocity Change
+136%
Contributors
4
+121% growth
New Repos (30d)
0
Free with email signup
Projected lead-time window
≈31-day lead window
Projected next milestone
Team expansion / round prep
The free Sunday digest puts Project-AgML and 540 other startups we track in context, 14-day acceleration deltas, contributor maps, and the top names not on Crunchbase yet. Five names every Sunday, no card, no code-reading.
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.
Engineering Velocity Report Card
Velocity Score
90/100
Exceptional, Significant engineering activity detected
Commit Velocity Change
+136%
Contributor Growth
+121%
New Repositories
0
Signal Type
Engineering hiring burst
What This Signal Means for Investors
Project-AgML's contributor count is growing at +121%, which classifies as an engineering hiring burst. This pattern typically means the company has recently closed a funding round and is rapidly scaling its engineering team.
If you are seeing this signal, you may be too late for the current round but well-positioned for the next one. The team expansion suggests the company has capital to deploy and is building toward a product milestone.
Related Startups in AgTech
ARPA-SIMC
fineprint-global
sapic
Fields2Cover
rspatial
Realistic-Farming
Similar Momentum in Other Sectors
Frequently Asked Questions
What is Project-AgML's current engineering signal?
As of Q3 2026, Project-AgML shows a "Engineering hiring burst" signal with +136% commit velocity change over a 14-day window, 4 active contributors, and +121% contributor growth. This indicates rapid team expansion, often following a funding round.
Is Project-AgML raising a funding round?
VC Deal Flow Signal does not predict specific funding rounds. However, Project-AgML's engineering acceleration pattern (+136% commit velocity change in Q3 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.
How does Project-AgML compare to other agtech startups?
Project-AgML is tracked in our AgTech sector rankings for Q3 2026. View the full sector ranking at signals.gitdealflow.com/startups-to-watch/agtech-q3-2026 to see how it compares on commit velocity, contributor count, and signal type against other agtech startups.
View Full Sector Rankings
Related Resources
View Project-AgML in AgTechsector →
See how Project-AgML ranks among AgTech startups on gitdealflow.com
Benchmark Project-AgMLvs 356 startups →
Compare engineering velocity across the entire VC Deal Flow Signal dataset
Find startups like Project-AgML→
Discover similar startups with comparable engineering signals and momentum
Check Project-AgML's velocity →
Get a detailed velocity analysis and engineering report card
Show this badge on your README
Free, auto-updating SVG badge for Project-AgML. Embeds in GitHub READMEs, websites, and pitch decks.
[](https://signals.gitdealflow.com/badge-builder)See all badge styles →Five breakout startups, every Sunday, before the round gets crowded
The free Acceleration Watch: five venture-backed teams accelerating on the engineering signal, translated into plain English, 21 to 47 days before the deck circulates. No code-reading, no card.