Most B2B sales teams have a quality problem, not a quantity problem. Reps stare at 1,000+ contact lists with no idea where to start. Plootus deploys AI voice agents that call every lead first and score conversations across 4 dimensions: reachable, identity verified, ICP qualified, intent confirmed. What reaches your SDRs is a ranked shortlist with full conversation context. They're not starting cold ā they're continuing a conversation the AI already had.
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Maker
š
Hey Product Hunt š
I'm a frontend dev at Plootus. We've been building this for the
last few months because we kept seeing the same broken pattern
in B2B outbound:
Sales teams have huge contact lists (often 1,500+ from Apollo,
LinkedIn, events). SDRs work top-down. By contact #200 they're
exhausted, half the list is unreachable, and the few qualified
leads are buried somewhere in the bottom 800.
We wanted to flip this. What if AI called every contact first
ā had a real voice conversation, not a robocall ā and only
surfaced the leads worth a human SDR's time?
That's Plootus.
Each conversation is scored across 4 dimensions:
ā Reachable (real person picked up)
ā Identity verified (right name, role, company)
ā ICP qualified (budget, timing, use case)
ā Intent confirmed (genuine interest, on record)
Only leads passing all 4 reach your SDRs ā with the full
conversation summary and recommended angle.
Things we're proud of:
- Sub-300ms latency (above 1s prospects know it's AI)
- Full audit trail ā every call recorded with consent
- Built for compliance (TCPA, DNC checks before every dial)
- Works with your existing CRM
Things we're still working on:
- More language support (currently English + Hindi)
- Tighter integrations with HubSpot, Salesforce
- Better handling of complex multi-stakeholder deals
Would love your honest feedback ā especially from anyone running
outbound at a B2B company. What's broken in your current motion?
What would make you trust an AI to call your leads?
Happy to answer anything in the comments.
ā Deepak