SpecStory is an AI tool for developers to save, search, and share AI chat history and authored intent, enhancing software development by integrating prompts with Git for improved team collaboration.
Developer & AI Platformspecstory.comTracked since 2026-08-211 discovery source
770Backlinks
195Referring domains
21Domain authority
+0.5%Referring domains · 90 days
Authority & distribution
How strong is SpecStory’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
770Current snapshot
Referring domains
195Current snapshot
Authority
21Domain authority · category median 22
90-day move
+0.5%Referring domains, last 90 days
At 21, SpecStory sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“SpecStory”
SpecStory is an AI tool for developers to save, search, and share AI chat history and authored intent, enhancing software development by integrating prompts with Git for improved team collaboration.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://specstory.com
Observed across 1 discovery source.
Research questions
What the evidence answers about SpecStory.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
How is SpecStory priced or packaged?
The evidence does not specify the exact pricing or packaging details for SpecStory. The homepage mentions a 'Pricing' link, but the actual price points or plan structures are not provided in the supplied information.
What is SpecStory and what problem does it solve?
SpecStory is an AI tool for developers that automatically captures and saves AI chat history, solving the problem of losing valuable context and decisions from AI coding assistants. It integrates with Git to help teams remember decisions and ship smarter with perfect context. As of mid-2026, it has over 10K installs and 3K active developers.
Who is SpecStory designed for and what features does it include?
SpecStory is designed for AI-first developers and software development teams. It offers features to save AI chat history locally or in the cloud, search development history, generate AI rules, and enable team collaboration by reviewing code with the 'why' behind decisions. It works in the cloud, terminal, and IDE.
What is SpecStory?
SpecStory is an AI tool for developers to save, search, and share AI chat history and authored intent, enhancing software development by integrating prompts with Git for improved team collaboration.
4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full SpecStory intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured