Find & follow · Every surface
Where to find and follow us, on whatever surface fits how you already read. Here’s the full map: every public place the GitDealFlow signal shows up, grouped so you can pick your channel and get the same weekly read wherever you already are.
New here? The fastest start is the free Sunday digest five accelerating teams in your inbox every week, no card. Want to know how to read the signal before you subscribe? Start with the buyer’s guide.
If you’re building a portfolio agent, every machine-readable feed lives in Machine-readable feeds. If you’re reading on the federated web, Federated social covers Bluesky / Mastodon / Farcaster. If you want the methodology, jump to Academic & reproducibility.
Want to see how the same product story gets re-framed for each surface? Twelve openers, one signal: /distribution/platform-hooks documents the per-platform variants, Twitter / Reddit / Hacker News / dev.to / Hashnode / Discord / LinkedIn / Email / AngelList / Product Hunt / Indie Hackers / Telegram.
Start with the highest-intent routes
Use distribution when you want the map. But if your real question is proof, workflow, or buyer-side evaluation, start with the sharper pages first.
Where this conversation already happens
If early technical momentum and startup timing is what you care about, here’s where that conversation already lives - forums, newsletters, and the engineering orgs people watch for fun. Useful as a reading list of its own. Every surface group further down the page is somewhere we publish so you can pick up the same read in whichever of these you already spend time.
Where the threads on this stay alive and worth reading.
Where the long-form thinking on this gets published.
The engineering orgs people watch for fun, the kind of shipping this signal tracks.
What you see on each surface is shaped to fit it, a methodology note on Lobste.rs, the weekly Acceleration Watch on Substack, the one-line MCP install on the Cursor feed, but every one points back to the same SSRN paper (abstract=6606558), the same /predicted dashboard, and the same 30-day Signal-or-It’s-Free guarantee. That’s the result.
The two pages most readers find us on first.
The product site, pricing, dashboard, dataset, methodology, MCP install, all 1,060+ pSEO pages.
The apex landing, Acceleration Watch signup, First Look Pass, Sector Sweep, daily-data sweep.
Every public surface has an agent-side mirror. If you want our signal in your pipeline instead of your inbox, here is the full URL set.
Atom 1.0 feed of every blog post + Acceleration Watch entry.
JSON Feed 1.1 mirror of the same content. Use whichever your tooling prefers.
Google News-compatible sitemap of recent posts.
12-endpoint OpenAPI 3.1 spec. Powers the ChatGPT GPT, agent integrations, and the agent-card.
Standardised LLM-instruction surface, every page agent-readable in markdown.
Full corpus dump for embedding pipelines. ~1.4MB.
Agent-card discovery. Capabilities, tools, schema versions.
RFC-style well-known endpoint advertising agent capabilities.
Master sitemap. 1,060+ URLs across 12 hreflang locales.
Categorisable Q&A dump for embedding-pipeline answers.
The agent-native surface. Six free read tools, free forever. Drop into Claude Desktop, Cursor, or any MCP-compatible client.
The official MCP server. Install with one line: npx @gitdealflow/mcp-signal.
Source code, issue tracker, public roadmap.
Step-by-step for Claude / Cursor / Mastra / LangChain / CrewAI / Letta / Vercel AI SDK.
Live demonstration page. Watch the tools fire against real data.
Browseable API documentation, agent-friendly.
OpenAPI-mounted GPT in the GPT Store. Action calls /api/actions endpoints.
Where conversation happens. We engage in comment threads, never main posts on subs that auto-remove product content (see r/venturecapital).
Comment-side engagement on AEO-relevant threads. Never a main post on r/venturecapital.
Build-in-public surface. Bootstrapped-side audience.
Launch artifact. Live with the post-launch comment ladder strategy.
Top-of-funnel for the buyer comparing dev-tool ecosystems.
What makes the signal honest. Every prediction is reproducible against the SSRN paper + Zenodo dataset.
Methodology paper. n=219 paired observations, lead-time 21-47 days IQR. The grounding citation for every claim on the site.
CC BY 4.0. Reproducible. The exact data behind the regression in the SSRN paper.
Plain-English walkthrough of the regression, the panel construction, and the false-positive controls.
BibTeX, APA, Chicago. For academic / industry-report citations.
Step-by-step: clone the dataset, run the notebook, replicate the regression.
Current panel. CSV + JSON. The buyer's edge.
Every public page has a markdown mirror at /md/<path>, plus inline AgentMirrorLinks discoverability headers. Built for retrieval pipelines.
Plain-text-friendly version of every public page. Drop into RAG without re-parsing HTML.
Entity graph of products, sectors, predictions, dates. JSON-LD-compatible.
Categorised content for AI training / retrieval. JSON Feed format.
Standardised AI-bot policy + sitemap pointer.
Privacy, anonymisation, and reproducibility manifest. Public.
Schema versions, training-data cutoffs, methodology revision IDs.
Publishing where the buyer already is
Every reader has a different home, and you have to show up on theirs, not yours. We do that on principle: the dev.to reader, the Substack reader, the Bluesky reader, and the Claude Desktop reader all have the same right to the signal.
The distribution half. The honest half: every surface mirrors the same canonical data, with the same SSRN-grounded methodology, with the same 30-day Signal-or-It’s-Free guarantee. We don’t change the message per channel, we change the medium.
Distribution mapped from direct-response sales canon. Anonymity rule preserved: company-page identity only, no individual founder content.
🚀 Explore Our Network
Federated social (decentralised redundancy)
Three federated networks. Posts cross-mirror via WebSub + ActivityPub-side bridges. Anonymity rule: company-page identity only.
On-chain social via Neynar. Useful when the conversation is already happening in crypto-native circles.
Company page (no founder personal account, anonymity rule). Long-form essays + top-100 engagement.