MiroFish vs futr.work
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
MiroFish compared with futr.work
| Detail | M
MiroFish | F
futr.work |
| What it does | A simple and universal swarm intelligence engine
| Modular AI Pods for the Future of Work
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
| Open source self-hosted option free; one managed pod $49/month with 7-day trial; Managed Pod Fleet up to 6 pods $199/month with 7-day trial.
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| Key features | - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
| - Voice Receptionist Pod - answers calls on first ring and books appointments to calendar
- Missed-Call Text-Back Pod - sends SMS within 3 seconds of unanswered calls
- Speed-to-Lead Responder Pod - sub-minute SMS response to form leads with whisper call bridge
- No-Show Shield & Booking Pod - multi-step SMS confirmation sequences
- Database Reactivation Pod - revives dormant leads with conversational SMS prompts
- Google Review Booster Pod - automated text invites for post-checkout reviews
- Text-to-Pay Collector Pod - 1-click payment links over SMS with reminder nudges
- Cloudflare Workers edge hosting with sub-millisecond latency
- Automatic pod handoffs and unified activity logging
- API-first with REST webhooks and OpenAPI 3.1 specification
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| What makes it different | - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
| - Pre-built, battle-tested infrastructure ready to deploy in minutes without engineering headaches
- Deploy piecemeal starting with one pod and scale as business grows
- Sub-millisecond response times on Cloudflare Workers edge with 300+ global locations
- Modular pods vs bloated all-in-one software suites like GoHighLevel or HubSpot
- Automatic pod handoffs and unified data flow between connected pods
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | 4 ● no change since last check |
| Trust Flow (Majestic) | 5 | 0 |
| Citation Flow (Majestic) | 30 | 0 |
| Referring domains (Majestic) | 160 | 0 |
5 details filled in for both companies.
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