Every feature designed to eliminate communication gaps

From AI generation to multi-channel distribution, every capability in ReleaseRadar exists to solve a specific problem teams face when communicating software changes.

Intelligent content generation that understands context

ReleaseRadar doesn't just summarize tickets. It synthesizes descriptions, comments, linked pull requests, code changes, and testing scope into coherent narratives tailored to each audience's needs.

  • Choose between OpenAI GPT-4o and Google Gemini โ€” or use both
  • Multi-ticket releases produce cohesive narratives, not bullet lists
  • Tone adapts per audience: technical, business, executive, or custom
  • Technical depth scales from 1 (high-level) to 5 (implementation detail)
  • Custom tone prompts let you match your company's voice exactly
๐Ÿ“‹
12 Jira tickets + 43 comments + 8 PRs
โ†“ AI processes full context
๐Ÿ”ง
Engineering version Technical depth: 5/5
๐Ÿ“Š
PM version Business context
๐Ÿ’ผ
Executive summary Impact-focused
๐ŸŽง
Support brief Customer-facing

Profiles that teach the AI what each reader needs

Define audiences once. Every release note after that is automatically tailored. AI even suggests the right configuration based on job titles and roles.

  • AI-powered audience suggestions from role descriptions
  • Configurable sensitivities: "flag breaking changes" or "highlight security impact"
  • Info needs: "always include migration steps" or "focus on user-facing changes"
  • Timing preferences: in QA, before deploy, or after deploy
  • Per-audience Slack channel routing and email subscriptions
  • Auto-publish for audiences that don't need manual review
๐Ÿ‘ฅ
DevOps Team Tech: 5 ยท TECHNICAL
๐Ÿ‘ฅ
Product Leadership Tech: 2 ยท BUSINESS
๐Ÿ‘ฅ
C-Suite Tech: 1 ยท EXECUTIVE
๐Ÿ‘ฅ
Customer Success Tech: 2 ยท CUSTOM tone
๐Ÿ‘ฅ
External Developers Tech: 4 ยท TECHNICAL

Reach every stakeholder in the channel they actually check

Publishing a release note isn't the end โ€” it's the beginning. ReleaseRadar delivers audience-specific content to five different channels simultaneously, with tracking for each.

  • Slack: per-audience channel routing with rich formatting
  • Email: realtime, daily digest, or weekly summary โ€” subscriber's choice
  • Public feeds: branded URLs with search and audience filtering
  • Embeddable widgets: modal or iframe on any website
  • Webhooks: HMAC-signed payloads with retry logic for custom integrations
  • Distribution logs track delivery status per channel per note
One publish โ†’ Five channels
๐Ÿ’ฌ
#engineering โ€” Slack โœ“ Delivered
๐Ÿ’ฌ
#product-updates โ€” Slack โœ“ Delivered
๐Ÿ“ง
23 subscribers โ€” Email โœ“ 23 sent
๐ŸŒ
Public feed โ€” Web โœ“ Live
๐Ÿ”—
PagerDuty โ€” Webhook โœ“ 200 OK

The deepest Jira integration in the category

Our Forge app installs from the Atlassian Marketplace in one click. It captures far more than other tools โ€” giving the AI the rich context it needs to generate genuinely useful content.

  • One-click Forge app install โ€” no webhook configuration needed
  • Captures: descriptions, comments, changelog, linked PRs, remote links
  • PR metadata: files changed, additions/deletions, merge status
  • Project and status filtering โ€” only sync what matters
  • Feedback loop: widget comments relay directly back to Jira issues
  • Fallback: traditional webhook support for custom setups
CAPTURED FROM JIRA
๐Ÿ“
Ticket description & requirements
๐Ÿ’ฌ
7 comments from 4 contributors
๐Ÿ”€
3 linked PRs โ€” 412 lines changed
๐Ÿ“Š
Status: Done โ†’ changelog captured
๐Ÿ”—
2 remote links (Figma, Confluence)

Everything else that makes the platform complete

๐Ÿ“‹ Template System

AI-generated templates with custom sections. Define structure once โ€” every release note follows the format. STRUCTURE sections for content, ACTION sections for recommended steps.

โœ… Recommended Actions

AI extracts action items from changes and categorizes them: CONFIG, TESTING, DEPLOYMENT, UPGRADE, REVIEW. Priority levels help teams triage post-release work.

๐Ÿ’ฌ Reactions & Comments

Stakeholders react with thumbs up/down and leave comments directly on release notes. Feedback relays to the linked Jira issue automatically.

๐Ÿ“Š Analytics & Audit Trail

Distribution success rates, widget engagement metrics, subscriber growth, and a complete audit log of every action taken โ€” who published what, when, and to whom.

๐Ÿงฉ Embeddable Widgets

Drop a script tag or iframe on any page. Branded release notes with search, subscribe, react, and comment โ€” all customizable. Modal or inline, your choice.

๐Ÿ“ง Email Subscriptions

Double opt-in, per-audience subscriptions with frequency controls: realtime, daily, or weekly digest. Role metadata for subscriber segmentation.

๐Ÿ” Encrypted Credentials

All API keys, tokens, and secrets are encrypted at rest. Multi-tenant isolation ensures no data leaks between organizations.

โšก Background Processing

BullMQ job queues handle ticket enrichment, note generation, and multi-channel distribution asynchronously. Nothing blocks your workflow.

๐Ÿท๏ธ Multi-Tenant

Built for SaaS from day one. Tenant isolation, plan-based feature gating, Stripe billing, and role-based access control (Owner, Admin, Member).

See every feature in action

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