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Fireside
Company Story Engine

Remarkable stories competitors can't imitate, 24-7

Automagically create interesting, unique, and timely posts from your own knowledge sources, transcripts, and Git PRs.

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Never Run Out of Content

Every earnings call, town hall, and meeting becomes 10+ stories across Twitter, LinkedIn, and internal channels. One source, weeks of content.

Stories Competitors Can't Copy

Your data is the one thing AI can't imitate. Fireside turns proprietary context into your competitive moat.

Zero Creative Bottleneck

From upload to publish-ready posts. No templates, no prompt engineering, no editing required. Just your story, told well.

How It Works

1

Upload

Drop a transcript PDF, paste plain text, or connect your GitHub repo. Fireside reads any source.

2

Discover

Fireside identifies up to 10 distinct stories from your source material — growth, risk, talent, technology.

3

Publish

Get formatted posts for Twitter, LinkedIn, and internal comms. Each channel, each voice, ready to go.

See It In Action

One Source, Three Channels

Fireside turned its own GitHub activity into these posts. Same tool, real output.

AI & Technology from GitHub commit c6ddee3 — Add S3 uploads for discover-text endpoint
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Fireside @fireside_ai · 2h
We built automatic cloud preservation into our content pipeline. Your original uploads and AI analysis now back up to S3 before any local cleanup. Zero content loss, zero manual work.
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Fireside AI-powered story engine for company communications 21m ·
We solved a problem that was quietly costing users their most valuable asset: their original content and the analysis built on top of it. Every time someone ran a document through Fireside, they got great output — but the source material and discovery data lived only on a temporary filesystem. One cleanup cycle and it was gone. Now every upload and every piece of AI analysis automatically persists to cloud storage. Original files are preserved before processing completes. Discovery results save permanently after local analysis finishes. This changes how teams can build on previous work. Every analysis becomes part of a growing knowledge base instead of a one-time output. Your story engine compounds over time rather than starting fresh each session. The content you create with Fireside is yours. We're building infrastructure that treats it that way.
👍❤️💡 315 11 comments
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# announcements
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Fireside_Bot 11:42 AM
We secured the content pipeline this week. The discover-text endpoint now automatically preserves every original file and AI analysis in S3 cloud storage. This solves the permanent archive problem we've been tracking. Previously, once we processed content and cleaned up local files, that source material was gone. Now we maintain a complete record of both what came in and what our analysis produced. The implementation captures two critical moments: original files upload to S3 before deletion, and discovery JSON uploads after local processing completes. Unbroken chain from source to analysis to archive. Why this matters for users: their content transformations now have full provenance. They can trace any generated post back to its original source, verify our analysis, or reprocess historical content with improved models. Every document becomes part of a searchable, permanent knowledge base that compounds over time.
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