Heard vs Poolside AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-08-12
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At a glance

DimensionHeardPoolside AI
PricingFree (freemium)Contact sales (enterprise)
Primary UseVoice interface for Claude Code/CodexEnterprise coding agents with governance
DeploymentCloud-based (no on-prem mentioned)On-prem, VPC, workstation (defense)
Target UserIndividual developers, ergonomic usersLarge regulated enterprises
Key FeatureVoice prompts, real-time speech-to-text, readbackLaguna model family, 1M context, multi-agent
IntegrationsClaude Code, CodexData connectors to repos, DBs, warehouses, RBAC

If you're an enterprise in finance or defense needing secure, auditable AI agents for complex coding tasks, Poolside AI is the fit—but expect a sales process and custom pricing. For a solo developer who wants to code hands-free with voice commands over Claude Code or Codex, Heard is a free, lightweight add-on. They serve completely different needs; choose based on your scale and security requirements.

Heard
Heard

Voice interface for Claude Code and Codex that lets you speak prompts and hear responses hands-free.

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Poolside AI
Poolside AI

Open-weight agentic coding models for regulated enterprises needing auditable, on-prem AI

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Pricing
Freemium
Contact Sales
Plans
$0
$9/month
Popularity
3 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
DesktopPlugin
DesktopCLIAPIWeb
Categories
💻 Code & Development🎤 Voice Dictation
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Voice-activated coding prompts
Real-time speech-to-text transcription
AI voice responses for code reviews and suggestions
Integration with Claude Code
Integration with Codex
Hands-free debugging through voice commands
Customizable voice triggers
Multi-language accent support
Low-latency audio processing
On-device speech processing
On-device text-to-speech iOS ePub reader
Open-weight Laguna S 2.1 model with 118B params, 8B active, 1M context
Open-weight Laguna XS 2.1 model with 33B params, 3B active, 256K context
256K context length on XS 2.1 for long-horizon reasoning
1M context length on S 2.1 for extended reasoning tasks
Multi-agent orchestration with planning and tool use
Sandboxed agent execution environments for safe code runs
IDE extensions and terminal UI (TUI) for developer workflows
Custom model fine-tuning for domain-specific needs
On-prem, VPC, or workstation deployment
Data connectors to repositories, databases, and warehouses
Role-based access control for humans and agents
Executive-grade governance and auditability features
Real-time observability with end-to-end traces
Air-gapped network support
Runs on-device for lightweight scenarios
Integrations
Claude Code
Codex
OpenRouter
Vercel AI Gateway

What real users say: Heard vs Poolside AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Heard

87 mentions across 6 sources · 12% positive — critical

Hacker News, Product Hunt, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • Concept of hands-free voice coding is genuinely innovative.
  • Targets a clear pain point: keyboard bottleneck for fast thinkers.
  • Support for multi-language accents broadens potential user base.
  • Real-time transcription and voice responses could accelerate workflow.

What frustrates them

  • Nearly no user feedback to validate any of the marketed features.
  • Integrations with Claude Code and Codex are unconfirmed.
  • Low-latency claim is unsubstantiated without performance benchmarks.
  • No indication of reliability in real-world coding environments.

Researched Jul 26, 2026

Poolside AI

40 mentions across 4 sources · 48% positive — mixed

Hacker News, YouTube, Bluesky, Lemmy

What users praise

  • Open-weight models with strong SWE-bench scores (72.5%).
  • On-prem, VPC, and air-gapped deployment for high security.
  • 256K context length supports long-horizon reasoning tasks.
  • Multi-agent orchestration with sandboxed execution environments.

What frustrates them

  • Community feedback is scarce; limited real-world user reviews.
  • Platform is still in research preview as of April 2026.
  • Pricing is opaque; only 'contact us' with no published tiers.
  • Trademark dispute with Poolside FM creates name confusion.

Researched Jul 17, 2026

Feature-by-feature

Poolside AI offers a full stack of foundation models (Laguna family) and agent orchestration, targeting high-consequence software engineering. The latest models provide up to 1M context on Laguna S 2.1, on-device capability on XS 2.1, and multi-agent planning with sandboxed execution. Features like role-based access control, governance auditing, and custom on-prem deployment make it enterprise-ready. Heard, by contrast, is a focused voice interface that layers onto existing AI coding assistants (Claude Code, Codex). It provides speech-to-text transcription and AI voice responses, enabling hands-free prompting and code readback. While Poolside builds its own models and agent platform, Heard enhances third-party tools with voice input/output. The two do not compete directly—Poolside replaces the entire coding AI stack, while Heard augments existing ones.

Pricing compared

Poolside AI uses a contact-sales model with custom enterprise pricing, typical for on-prem deployments and custom foundation models. There is no self-serve tier, which puts it out of reach for individuals or small teams without budgets for enterprise procurement. Heard operates on a freemium model (free to use), with no pricing details indicating a paid tier—making it accessible to any developer. The cost difference is stark: Poolside requires significant investment in vendor engagement, while Heard is instantly free. Buyers should consider total cost of ownership: Poolside includes governance, security, and custom models; Heard is a low-risk add-on.

Who should pick which

  • Enterprise lead architect in regulated industry
    Pick: Poolside AI

    Poolside provides auditable, on-prem agents with long-context reasoning (1M context) and RBAC, meeting compliance needs.

  • Developer with RSI or ergonomic concerns
    Pick: Heard

    Heard enables hands-free coding via voice, reducing keyboard strain while using Claude Code or Codex.

  • Individual startup developer on a budget
    Pick: Heard

    Heard is free and immediately usable; Poolside’s contact-sales pricing is prohibitive.

  • CISO evaluating secure coding tools
    Pick: Poolside AI

    Poolside deploys inside security boundaries, offers sandboxed execution, and has executive governance features.

Frequently Asked Questions

Heard vs Poolside AI: which should you choose?

If you're an enterprise in finance or defense needing secure, auditable AI agents for complex coding tasks, Poolside AI is the fit—but expect a sales process and custom pricing. For a solo developer who wants to code hands-free with voice commands over Claude Code or Codex, Heard is a free, lightweight add-on. They serve completely different needs; choose based on your scale and security requirements.

Does Poolside AI integrate with Claude Code or Codex?

No, Poolside provides its own models and agent platform; it does not list integration with Claude Code or Codex.

Can Heard be used with tools other than Claude Code and Codex?

Based on available data, Heard only integrates with Claude Code and Codex.

Does Poolside AI offer a free trial or self-serve plan?

No, Poolside AI requires contacting sales; there is no self-serve or free tier mentioned.

Can Heard be used offline?

No, Heard requires a stable internet connection for its cloud-based voice processing.

Which tool supports multi-agent orchestration?

Poolside AI features multi-agent orchestration with planning and tool use; Heard does not include agent capabilities.

Is there a mobile version of Heard?

Latest news (2026-07-15) mentions Heard for iOS as an ePub reader with on-device TTS, but the main tool appears desktop-focused for coding.

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Last reviewed: July 26, 2026