Bazooka vs Referee.chat

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Bazooka compared with Referee.chat
Detail	Bazooka	Referee.chat
What it does	AI system that books qualified sales calls across 8 social channels	An AI panel debates your goal; a referee rules on re-checkable evidence
Stage	Not given	Not given
Founded	Not given	Not given
Based in	NL	Not given
Pricing model	Paid	Freemium
Pricing	AI Starter: $2,697/month (1 unified sender with 8 slots, no ready-made profiles, about 12 to 20 qualified meetings/month). AI Accelerator: $5,897/month (3 unified senders with 24 slots and 24 ready-made profiles, about 36 to 60 qualified meetings/month). AI Scaler: $11,797/month (6 unified senders w	Free: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
Key features	Collects leads from 8 social channels: LinkedIn, Instagram, Facebook, X, TikTok, Reddit, Threads and Discord Researches each prospect's profile, posts and company website Sends personalized first messages across all channels in one campaign Runs conversations, handles objections and follows up automatically Books qualified calls directly to your calendar Creates and publishes AI-written thought leadership content Native booking pages with qualifying forms and calendar integration	Panel of up to six AI models from different vendors Referee rules on re-checkable evidence only Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC Executes Python code to verify claims Customizable acceptance standards Matches pause and resume without losing work Shared ledger prevents re-derivation Spending limit per match
What makes it different	Autonomous AI team that runs your entire acquisition without human involvement Self-improving system that compounds results month after month Covers all 8 social channels in one unified system Direct access to named founders with no account manager queue	Referee decides on evidence, not argument quality Panel from different vendors fails in different directions Stuck is a targeted question, not model thrashing Cost grows with ledger, not round count Published matches become research record
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	2 no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	13
Referring domains (Majestic)	1	31

5 details filled in for both companies.

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