Five integration guides for the tools investors already live in: Slack, Notion, Airtable, Google Sheets, and Affinity. Each shows the exact setup, powered by the free public CSV and JSON API endpoints.
Every integration runs on the same open plumbing: GET /api/signals.json and /api/signals.csv on signals.gitdealflow.com return the full current dataset with no authentication, updated weekly. That means these guides are also recipes for any other tool that speaks HTTP: Retool, Excel Power Query, Zapier, or a ten-line script. The pages below cover the five most requested destinations.
Post the weekly acceleration digest into a deal-team channel automatically. Five names every Sunday, with the three signals behind each pick.
Sync signals into a Notion deal database. Each startup becomes a page with velocity, contributor, and repository metrics attached.
Build a live deal-flow base: CSV and JSON endpoints feed Airtable records that update as startups accelerate.
Build live deal flow dashboards in Sheets with a single IMPORTDATA formula against the public CSV endpoint. No add-on needed.
Enrich relationship-driven deal flow: import the weekly shortlist into Affinity and track it alongside your existing network graph.
Beyond spreadsheets and chat: the MCP server brings the signals into Claude, Cursor, and other AI tools, the OpenAPI spec documents every endpoint, and the free calculators run in the browser. Technical due-diligence workflows are covered in the Learn hub.
Pick by where your team already argues about deals. If deal talk happens in a Slack channel, wire the Slack integration first: it is a five-minute setup and turns the digest into a weekly team ritual. If your deal flow lives in a pipeline tool, start with Airtable or Affinity: both import the weekly shortlist as records, so acceleration data sits next to the relationship history you already track. If you live in spreadsheets, the Google Sheets guide is the fastest path to a live dashboard, and Notion is the right home if your diligence notes are already wiki-style pages.
All five integrations read the same public endpoints, so nothing here is exclusive: a common pattern is Slack for awareness, Sheets or Airtable for tracking, and Notion for the deeper write-ups on names that survive first screening. The endpoints refresh weekly with the dataset, which means your dashboards update themselves; there is no export button to forget.
The dataset covers 350+ startup GitHub organizations across 15 sectors and refreshes weekly. The JSON and CSV endpoints return the current snapshot in full, no authentication and no rate limit for normal use. If you need historical snapshots, sector cuts, or per-startup deep dives, those live in the data section rather than the flat exports. For programmatic access beyond a simple poll, including AI-native surfaces like the MCP server for Claude and Cursor, see the MCP page.