Claude reasons brilliantly. Specky reasons about your product.
Claude is one of the best reasoning models available — thoughtful, accurate, and great for complex analysis. But it has no memory of your product, your customers, or your last 6 months of decisions. Specky applies that same reasoning power to your actual product context, automatically.
- Product Graph gives AI persistent product context
- Every signal and decision compounds automatically
- Autonomous agents do PM work without prompting
- Citations from real data — not recalled from training
- 14-day trial
- Exceptional reasoning and long-context analysis
- Genuinely thoughtful and nuanced responses
- Great for one-off complex analysis
- Widely respected for safety and accuracy
- No product memory — brings no context of its own
Feature-by-feature breakdown
When to choose each
Choose Claude if…
- You need best-in-class reasoning for general tasks
- One-off complex analysis where context doesn't compound
- You're building your own AI product on top of an API
Choose Specky if…
- You want AI with your product baked in, not pasted in
- You want autonomous overnight work, not just reactive responses
- You need context that compounds — not resets every session
Claude is a brilliant blank slate every time. Specky remembers your product.
Claude is an exceptional general-purpose reasoning model — genuinely strong at long-context analysis, and if you paste in your product context by hand, it can help you think through a PRD or a decision. The catch is exactly that: you have to paste it in, every time, because Claude has no persistent memory of your product between conversations.
Specky is built around the opposite assumption: your product context should compound automatically, not get re-explained every session. It ingests Slack, Gong, Jira, GitHub, and PostHog continuously into a persistent Product Graph, so every new conversation, PRD draft, or agent run starts already grounded in what's actually happening — not a blank page waiting for you to paste context in.
This isn't really an either/or. Specky's own chat interface is powered by Gemini, and plenty of Specky users also use Claude directly for general reasoning and writing. The difference is what each one remembers: Claude remembers nothing between sessions by design; Specky's whole value proposition is that it does.
Try the difference now
See what “grounded in evidence” means
Paste one real customer complaint. Watch Specky turn it into a prioritized insight with the exact quote that proves it — no signup. This is the part Claudedoesn't do.
Specky vs Claude — common questions
Is Claude smarter than Specky?+
Claude is a leading general-purpose reasoning model with genuinely exceptional long-context analysis — Specky doesn't claim to out-reason it on general tasks. What Specky adds is persistent, automatically-ingested product context: a connected Product Graph that Claude, used on its own, has no equivalent of.
Can I just use Claude to do what Specky does?+
You can approximate parts of it by pasting your product context into Claude manually each time, but Claude has no persistent memory between conversations and no automatic signal ingestion — you'd be doing the Product Graph's job by hand, every session.
Does Specky use Claude?+
Specky's AI layer runs on Google Gemini, not Claude. Some Specky users also use Claude directly for other work, but Specky's product context (the Product Graph, PRD drafting, agents) is a Gemini-powered system.
Is Specky's data used to train any AI model?+
No — Specky's data handling keeps customer data from training any underlying model. Claude offers a similar guarantee at the Enterprise tier specifically; Specky doesn't gate that behind a higher tier.
Early design partners
See the difference in 5 minutes
Start a 14-day trial. Connect Slack and Jira and Specky starts building your Product Graph immediately.