Q2 2026 · United States

United States Startups to Watch — Q2 2026 Engineering Signals

19 United States-based startups across 8 sectors, ranked by GitHub engineering acceleration. roboflow (AI & Machine Learning) leads with 39 commits over 14 days (-35% change). Dominant regional signal pattern: Framework migration.

Sector activity in United States

Cybersecurity

5 startups

Data Infrastructure

5 startups

AI & Machine Learning

2 startups

Enterprise SaaS

2 startups

HR Tech

2 startups

Climate Tech

1 startup

Legal Tech

1 startup

Space Tech

1 startup

Ranked startups — United States, Q2 2026

#	Company	Stage	Geo	Commits (14d)	Change	Contributors	Contrib. Growth	New Repos	Signal
1	roboflow View signal profile →	Growth	US	39	-35%	90	+5%	2	Framework migration
2	mlflow The open source AI engineering platform for agents, LLMs, and ML models. View signal profile →	Growth	US	358	-21%	100	+20%	0	Framework migration
3	carbon-design-system An open-source design system built by IBM. View signal profile →	Growth	US	79	-1%	100	+0%	1	Framework migration
4	JanssenProject Cloud Native Identity and Access Management Platform View signal profile →	Growth	US	461	+77%	100	+44%	0	Framework migration
5	Infisical Infisical is the open-source secrets management platform: Sync secrets across your team/infrastructure, prevent secret l View signal profile →	Growth	US	504	+5%	100	+40%	3	Infrastructure buildout
6	OpenCTI-Platform Open Cyber Threat Intelligence Platform View signal profile →	Growth	US	73	-31%	100	+0%	0	Framework migration
7	akto-api-security Instant API Security View signal profile →	Growth	US	267	+75%	53	+0%	1	Framework migration
8	gravitational The easiest, most secure way to access all your infrastructure. View signal profile →	Growth	US	169	-12%	100	+8%	0	Framework migration
9	langchain-ai View signal profile →	Growth	US	105	-5%	100	+20%	1	Framework migration
10	ParabolInc Tools for building better teams View signal profile →	Growth	US	21	-56%	78	+0%	1	Framework migration
11	PostHog The single platform to analyze, test, observe, and deploy new features View signal profile →	Growth	US	231	-11%	100	+0%	3	Infrastructure buildout
12	ClickHouse View signal profile →	Growth	US	2,184	-40%	100	+0%	4	Infrastructure buildout
13	dagster-io An orchestration platform for the development, production, and observation of data assets. View signal profile →	Growth	US	120	-4%	100	+19%	1	Framework migration
14	VictoriaMetrics Easy to use and fast monitoring solution View signal profile →	Growth	US	71	+4%	100	+0%	0	Framework migration
15	airbytehq Simple & extensible open-source data integration View signal profile →	Growth	US	164	-77%	100	+0%	0	Framework migration
16	wazuh The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads. View signal profile →	Growth	US	215	-6%	100	+7%	1	Framework migration
17	zapplyjobs Free job boards and career resources for students & new grads View signal profile →	Seed	US	1,158	-53%	8	+220%	0	Engineering hiring burst
18	ever-co The Everything Platform for Businesses™ View signal profile →	Growth	US	13	-50%	79	+0%	1	Framework migration
19	OpenC3 Open Source. Open Architecture. Command, Control and Communication View signal profile →	Series A/B	US	87	+0%	45	+0%	0	Framework migration

Sorted by commit velocity change (14-day window). Geography from GitHub org profiles. Last updated Q2 2026.

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Frequently Asked Questions

How many startups are tracked in United States in Q2 2026?

19 United States-based startups are tracked across 8 sectors in Q2 2026. roboflow (AI & Machine Learning) leads with 39 commits over a rolling 14-day window (-35% change). Average 14-day commit velocity across the region is 333 commits.

Which sectors have the most startup activity in United States?

In Q2 2026, the top sectors by active startup count in United States are Cybersecurity (5), Data Infrastructure (5), AI & Machine Learning (2), Enterprise SaaS (2), HR Tech (2). The dominant engineering signal pattern across the region is "Framework migration".

How is startup geography determined?

Geography is derived from each startup's GitHub organization profile location field, supplemented by a curated enrichment database of known startup headquarters. Regions use broad classifications (United States, etc.) rather than city-level granularity to provide meaningful sample sizes.