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Octolane
Self-driving AI CRM that you can talk to
297 followers
Self-driving AI CRM that you can talk to
297 followers
Octolane is chat-first Self-driving AI CRM: say "follow up with David" or "show me stuck deals" and it does the thing. self-driving underneath. reads your gmail and calendar, auto-detects deals, drafts follow-ups, updates fields. What's new: slash-command chat, meeting recorder, visitor signal, kanban pipeline, MCP server with ~60 tools.
Octolane
Scade.pro
Octolane
@maria_anosova Thank you, appreciate your support! 🙏
Chat-first input is a real unlock for sales teams that spend more time logging than selling. The Gmail auto-detection layer is the part that actually replaces behavior, not just aids it. How does Octolane handle ambiguous contacts, like the same name appearing across two different deals?
Octolane
@dhiraj_patel5 Thank you Dhiraj! Super thoughtful question! @Octolane has native merge contact capability and Octolane's AI is smart enough to find the difference to act accordingly.
Chat-first CRM is the right call. Most reps don't update fields because it's annoying, and the data rot that follows kills pipeline visibility. We've been building in the AI customer success for SaaS sales tools space, and Octolane touches on something we think about a lot. Does the auto-detection handle when a deal spans multiple email threads with different contacts?
Octolane
@shivam_jaiswal36 - Appreciate the kind words, Shivam and yes, data rot from manual field updates is exactly the problem we're solving. If the CRM requires reps to do data entry, the data will always be bad. That's just human nature.
To your question: yes. Octolane tracks conversations across multiple email threads and contacts tied to the same deal. So if you're emailing the champion, their VP loops in on a separate thread, and procurement starts a third, all of that gets unified under one deal automatically. No manual linking required.
We think of it less as "auto-detection" and more as the @Octolane AI CRM just understanding what's happening in your pipeline the way a great sales ops person would.
Sounds really cool! A CRM for lazy people :) Are there integrations with well-known CRMs? Usually everyone is already using something, and the main problem is migrating data from the old CRM. Without that, it would simply be impossible for 90% of users to switch to something new.
Octolane
We ran all of Tuple's IT services pipeline through HubSpot and Instantly, and the failure mode was always the same: reps hate data entry, so the CRM becomes useless within 60 days. A CRM that talks and self-logs fixes the right problem. The thing I'd push on early is multi-stakeholder deal handling — SMB sales almost always involves 2-3 decision points across different contacts. Most AI CRMs flatten that to a single thread and miss the nuance. If Octolane holds context across a buying committee, that's the real unlock for this market.
Octolane
@thekrew Thank you for sharing that, this is exactly why we built @Octolane!
@one_chowdhury1 "The closest thing to 'no CRM' we could imagine" is the most founder-relatable positioning I've seen all year. The chat-first interface ("follow up with David") finally feels like how founders actually think.
Curious about the self-driving layer: when Octolane auto-detects a deal from Gmail/calendar, how does it handle edge cases like a casual "let's chat next month" email vs. a serious buying signal? And can founders easily correct misclassifications to train the system?
Asking because for founder-led sales, false positives in deal detection can waste precious follow-up energy. The ability to teach Octolane your personal "what counts as a real lead" logic feels critical. Excited to test this on my own pipeline.
We ran HubSpot for two years at our IT managed services company. The failure mode was always the same — data entry became the product. You end up logging activities instead of doing them. The chat-first interface is the right instinct; the problem was never where do I put this, it was why would I bother. If Octolane can actually pull context from Gmail and auto-detect deals without anyone touching a field, that is where small B2B service firms would pay real money.