Brett @HoganBrogan makes a clear point worth reading:
Companies will own more of their software while buying the infrastructure underneath.
Thatβs our thesis at @graph8 . Build your own revenue workflows without rebuilding the dialer, outbound, data and scheduling.
We coined it: Programmable revenue.
@HoganBrogan, this is exactly the thesis behind graph8: "programmable revenue".
Teams should own their applications, workflows and customer experience without rebuilding the revenue infrastructure underneath.
And that goes well beyond CRM: data and enrichment, dialers, cold email and sequencing, inboxes, calendars and booking, all accessible through APIs, SDKs and MCP.
Weβve built these capabilities on a shared data foundation so developers and AI agents can combine them into their own products, rather than stitch together another stack of disconnected tools.
The application is yours. The infrastructure is taken care of. We are Stripe/ Twillio for Programmable Revenue.
Would love your take: https://t.co/k8FADgjvmE
@OisinO If youβre weighing a full rebuild, the hard part is usually the GTM infrastructure under the CRM, not the UI.
graph8 exposes those primitives (data, enrichment, sequences, inbox, meetings, agents, workflows) as an API, SDK, and MCP so you can own the product and logic without standing the backend up yourself.
Check it out if you want AI-first without rebuilding everything: https://t.co/k8FADgk3cc
DM me with any questions. Love to walk you through it. We are twilio/ stripe for programmable revenue.
@HarryStebbings We love linear, but dark factories donβt need it. We moved to GitHub issues, one surface.
Doesnβt make sense adding an extra layer.
Today we shipped graph8 MCP Unlimited.
Everyone can plug data into their AI now. The plumbing was never the hard part. Good contact data costing a fortune was.
So we made it unlimited. Free to start, $25/mo for everything, right inside Claude, ChatGPT, and Perplexity.
Comment "MCP" or repost and I'll DM you free Unlimited access. π
New: the graph8 MCP is now Unlimited.π
graph8 MCP Unlimited is live.
Your entire B2B data stack, now inside your AI. Connect it once and @claudeai , @ChatGPTapp , or @perplexity_ai can find, enrich, draft, and sequence prospects from a single chat.
20B intent signals. 750M contacts. Free to start.
Programmable Revenue is our weekly research read: the GTM shifts before they turn into vendor language. Issue 01 is live, and the newsletter lives here: https://t.co/2HnOM709Po
Fifty leads at the top of your queue. Sort them newest-first, the CRM default, and about 2 ever buy.
Re-rank the same 50 on the funnel's own ladder (a test drive beats a long call beats silence) and about 13 buy.
Same leads, same reps. The label was the lever, not the model.
Programmable Revenue is our weekly research read. You will find a deeper dive into Stevie's convictions in the latest newsletter: https://t.co/2HnOM709Po
@TrustVanta went from under $20M to north of $100M ARR in about 3 years against 40+ copycats. Same product, copied 40 times.
@KillCreek ran it, and her read is the least romantic in the CRO literature: execution is the only moat.
The strategy was never the problem.
@kylecnorton cut half his sales team 45 days into the CRO job at @owner , then hired a VP-caliber RevOps leader at six reps, and only then turned AI loose.
That order is the whole thing. Talent first, plumbing second, agents last. Most teams run it backwards and wonder why the agent scales the mess.
@kylecnorton cut half his sales team 45 days into the CRO job @owner, then hired a VP-caliber RevOps leader at six reps, and only then turned AI loose.
That order is the whole thing. Talent first, plumbing second, agents last. Most teams run it backwards and wonder why the agent scales the mess.
https://t.co/Ib8i660Pjg
Every quarter someone tells me the fix is more activity. It almost never is.
Pipeline multiplies, so one rate beats all the volume: take your conversation rate from 15 to 20% and the same list books like a team a third bigger, with zero hires.
@dhh right product, right market > and you outwork anyone. That's the formula. Everything else factors luck of the draw more which means no agency or directive construction.
Opus > Deepseek 250 x cost reduction.
We just ran some teacher/ student runs. Opus teacher, Sonnet benchmark and then kimi/ deepseek etc as student.
50x cost reduction over Sonnet with a 2.5 improvement in quality.
This is only prompting, not even our own distillation. Tipping point is here.
Wish I had some US based os models that can match that performance.