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GitHub Startup Momentum Index

Name: GitHub Startup Momentum Index
Creator: GitDealFlow
License: https://creativecommons.org/licenses/by/4.0/

A weekly ranking of 40 notable startup & dev-tool repositories by real GitHub engineering-activity signals. Updated 2026-07-21.

#	Startup / Repo	Score	Stars	Δ stars/wk	Language
1	n8n-io/n8n	100	197,350	—	TypeScript
2	ollama/ollama	100	176,585	—	Go
3	langchain-ai/langchain	100	142,260	—	Python
4	vercel/next.js	100	141,054	—	JavaScript
5	tauri-apps/tauri	100	109,284	—	Rust
6	immich-app/immich	100	108,370	—	TypeScript
7	denoland/deno	100	107,765	—	Rust
8	supabase/supabase	100	106,727	—	TypeScript
9	oven-sh/bun	100	94,918	—	Rust
10	hoppscotch/hoppscotch	99	79,847	—	TypeScript
11	strapi/strapi	98	72,700	—	TypeScript
12	cline/cline	98	64,899	—	TypeScript
13	nocodb/nocodb	97	64,187	—	TypeScript
14	pocketbase/pocketbase	97	60,099	—	Go
15	coollabsio/coolify	97	59,174	—	PHP
16	meilisearch/meilisearch	97	58,682	—	Rust
17	go-gitea/gitea	97	56,951	—	Go
18	appwrite/appwrite	97	56,631	—	TypeScript
19	twentyhq/twenty	96	53,399	—	TypeScript
20	run-llama/llama_index	96	50,983	—	Python
21	appsmithorg/appsmith	95	40,439	—	TypeScript
22	novuhq/novu	95	39,342	—	TypeScript
23	umami-software/umami	95	37,798	—	TypeScript
24	PostHog/posthog	94	37,189	—	Python
25	directus/directus	94	36,727	—	TypeScript
26	medusajs/medusa	94	35,277	—	TypeScript
27	qdrant/qdrant	94	33,468	—	Rust
28	chroma-core/chroma	93	28,839	—	Rust
29	plausible/analytics	93	27,917	—	Elixir
30	activepieces/activepieces	92	23,366	—	TypeScript
31	windmill-labs/windmill	90	17,207	—	Rust
32	weaviate/weaviate	90	16,629	—	Go
33	triggerdotdev/trigger.dev	90	15,702	—	TypeScript
34	documenso/documenso	89	14,058	—	TypeScript
35	typesense/typesense	88	26,342	—	C++
36	formbricks/formbricks	88	12,610	—	TypeScript
37	calcom/cal.diy	84	46,670	—	TypeScript
38	mindsdb/mindshub	84	39,468	—	Makefile
39	unkeyed/unkey	84	5,396	—	Go
40	refinedev/refine	73	35,352	—	TypeScript

How the score works

The Momentum Score (0–100) blends three transparent, public signals: traction (star count, log-scaled), recency (days since last push), and velocity (week-over-week star growth). The exact formula is printed at the bottom of every page. Nothing here is proprietary or hidden — reproduce it yourself from the dataset.

Methodology & disclaimer. The Momentum Score reflects public software-engineering activity only. It is not investment advice, a valuation, or a recommendation to buy, sell, or fund any company. Data source: GitHub public REST API, refreshed as of 2026-07-21. Score = round(0.40·traction + 0.35·recency + 0.25·velocity), where traction=100·log10(stars+1)/5, recency is a step function of days since last push, and velocity reflects week-over-week star growth (falls back to traction on first snapshot). Full dataset: data.json (CC BY 4.0).

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