Dan Shipper Portfolio
Co-founder and CEO of Every, which has shipped named AI products including Cora (email), Sparkle (file organization), Spiral (writing), Monologue (dictation), Proof (collaborative editing), and Plus One (a Slack AI agent), while running a media business alongside them.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Six named, shipped products instead of one flagship case study
Listing six distinct, named AI products under one roof shows a repeatable product-development process rather than a single lucky hit.
Media and product built as one deliberate system
Running a newsletter and podcast alongside the product suite means every launch has a built-in distribution and feedback channel — a structural choice worth naming.
A public, named argument for why the company can ship this fast
Publicly describing Every as operating with a very small engineering footprint relative to its output ties the product portfolio to a specific operating thesis, not just a list of outputs.
What AI Product Managers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If you've shipped multiple small AI products rather than one big one, list them by name — range and repeatability are their own kind of evidence.
If you pair product work with an owned audience, explain how the two reinforce each other rather than describing them separately.
State the operating thesis behind how you built what you built — the "how" is often more differentiating than the feature list itself.
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