graph8

We are empowering sellers with AI-driven automation to forge meaningful, data-informed buyer connections at scale.

[graph8 @graph8]

New: the graph8 MCP is now Unlimited.🚀
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.

[graph8 @graph8]

Execution is the only moat is exactly what graph8 is built to run: sequence the motions, score the behaviors, automate the drudgery.

Great spotlight on Stevie Case's Vanta arc moving them 5x in revenue with discipline.

[Thomas Cornelius @graph8tc]

@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.

[graph8 @graph8]

Agents last is a dependency chain, not a slogan. Clean data, deterministic rails, then automation. @kylecnorton built it in that order. @graph8tc on why skipping it scales the mess.

[Thomas Cornelius @graph8tc]

@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

[Thomas Cornelius @graph8tc]

Built a system where GPT, Claude, and Grok compete on the same problem.

Rotating roles: one generates candidates, one red-teams, one edits. Verification is deterministic, not LLM.

Interesting finding: the model that's worst at generating is often best at red-teaming. Different failure modes.

[graph8 @graph8]

Your prospect opened your email 4 times yesterday.

Then visited your pricing page.

Then bounced.

That's a signal most CRMs ignore.

graph8 sees it. Flags it. Routes it to your top closer — not the SDR who sent the original sequence.

Intent beats ownership.

[graph8 @graph8]

@cem_hasoglu Fundamentals don't change. Execution gets more competitive.

The people crushing it now are using AI to speed up step 3 (research + personalization) without losing the human touch on the call.

Infrastructure + volume + relevance. All three have to hit.

[graph8 @graph8]

This maps to what we're seeing in the AI SDR space too.

Group 1 is trying to fully automate outbound and wondering why deliverability tanks.

Group 2 is using AI to make research and personalization faster while keeping humans in the loop.

The "lower volume, higher intent" approach scales better than people expect.

[graph8 @graph8]

Every AI SDR demo shows perfect conversations.

Production reality: Prospect asks something unexpected. AI confidently cites a feature that doesn't exist. Sales scrambles.

The gap between demo day and day 90 is where most AI SDR vendors hide.

[graph8 @graph8]

Your SDR reviews 50 accounts before their first coffee.

Research done. Signals flagged. Priority scored.

They spend zero time on data hygiene.
All of it building relationships.

That's Camp 2 in action.

[graph8 @graph8]

@RealAvairAI Exactly. The best teams we see aren't choosing AI or human — they're designing workflows where each handles what they're best at.

AI does the grunt work at scale. Humans do the thinking and connecting.

The question isn't replacement, it's integration.

[Thomas Cornelius @graph8tc]

Anonymous visitor hits your site. Reads 3 pages. Leaves.

48 hours later they're in a campaign.

Didn't fill out a form. Didn't chat. Just browsed.

graph8 connects visitor ID to the campaign engine. The handoff is automatic.

Most tools stop at identification.

[Thomas Cornelius @graph8tc]

Voice AI for sales calls sounds simple until you build it.

Time to first audible speech matters more than anything. Below 300ms feels natural. Above it, humans notice the pause.

Spent weeks on the audio pipeline before the AI even mattered. The model is the easy part.

[graph8 @graph8]

Ran an experiment at graph8: same message, same list.

One batch sent on cadence (day 3, 7, 14).
Other batch sent when they hit the pricing page.

Pricing page batch: 3.2x higher reply rate.

The 'when' matters more than the 'what.'

Still figuring out how to do this without being creepy.

[graph8 @graph8]

Most CRMs label a lead "cold" if they haven't filled out a form.

Meanwhile, they've browsed your pricing page 3x, opened 4 emails, clicked a case study.

That's not cold. That's ready.

graph8 catches these signals and triggers outreach before your competitors notice.

[graph8 @graph8]

The AI SDR space is splitting in two.

Camp 1: Replace SDRs with bots. Cheap, scalable.

Camp 2: Give SDRs AI superpowers. One rep handles 5-10x the pipeline. AI does research, sequencing, data hygiene. Human focuses on calls.

Camp 1 might win for commodity outreach.

We're betting on Camp 2.

[graph8 @graph8]

CIENCE is now part of graph8.

Same data. Same campaigns. Same playbooks built over thousands of clients.

New system underneath.

AI handles the repetitive work. Humans handle objections, trust, edge cases.

If you worked with CIENCE before, nothing breaks. If you haven't, now's a good time.

[graph8 @graph8]

Here is how AI can boost your SDRs' performance🚀

Your AI SDR sent 1,000 emails this week. But your buyers opened (or noticed) only 1.

More messages ≠ more results.

Here’s the simple truth:

Blasting prospects with volume looks busy, but it doesn’t build relationships. People today do their own research.

1/ They read reviews

2/ Watch demos, and

3/ Ask friends before talking to a salesperson

That means timing and relevance matter far more than raw activity. So what should change?

- Stop celebrating “activity” for activity’s sake. Connect rates and conversions tell the real story.

- Use AI to help humans, not replace them. The best results happen when technology connects the right people and content at the right time. Then, a person can step in to have the real conversation.

- Focus on helpfulness, not noise. Short, timely, useful outreach beats a thousand generic touches.

At @graph8 , we create tools to help teams see real buyer intent. This way, they can keep context across channels. As a result, outreach is smarter and more respectful.

The goal isn’t more spam; it’s fewer, better conversations that actually move deals forward.

- Less slop.

- More value. More human moments. ✅

If your SDRs are busy but not having enough sales conversations, it might be time to change the playbook.

— @graph8✌

[graph8 @graph8]

AI-powered SDR tools aren’t just hype; real teams are seeing real results 🔥

In a recent test by SignalFire, AI tools helped SDRs automate boring tasks. This let them focus on more valuable work.

That’s exactly what graph8 was built to do.

Here’s why this matters:

- Humans + AI = best results

- AI handles research, follow-ups, and scoring.

- Humans make judgment calls, build trust, and close deals.

[graph8 @graph8]

Ready to test it in your stack?

Start a 7-day free trial of Graph8 and run a hands-on pilot. We’ll help you set up the pilot, integrate with your tools, and define the metrics to track.

https://t.co/4m7ZBQO68a

[graph8 @graph8]

AI-SDRs aren't magic.

They make your team stronger.

Here's what actually matters when you test or roll one out👇

[graph8 @graph8]

4/ Hybrid models win early

Human SDRs + AI assistants = faster personalization at scale.

Invest in integration (CRM, outreach tools) and guardrails for brand voice and compliance.