Reddit · r/devtools2h ago
Anyone know a tool that catches this before it hits prod? Ours is overkill for a 4-person team and the pricing is opaque until you talk to sales.
For developer-tool companies.
Track mentions. Reply with your strengths. Win the thread. Get named.
50 founding spots
A free snapshot of your mentions and AI visibility in a week.Reddit · r/devtools2h ago
Anyone know a tool that catches this before it hits prod? Ours is overkill for a 4-person team and the pricing is opaque until you talk to sales.
What to say · using your strengths
We built this for small teams. Published pricing, no sales call. Happy to share a comparison either way. Disclosure: I work on the product.
You post it today. Later, AI can send replies like this.
Named in AI answers
Example share
You 22% · Ferrix 41% · not named 37%
A mention is a chance to start a conversation. Winning it is how the next buyer finds you.
1
Public mentions of you and your competitors. Buying intent, comparisons, complaints.
2
A reply drafted from your actual strengths. You post it. Later, AI can send it.
3
More conversations. Then more AI answers that recommend you. That is revenue and visibility.
Public mentions of you and your competitors, from the places developers actually look.
The forums where a tool actually gets picked.
News, blogs, docs, changelogs. Add a custom URL if it has a feed, an API, or MCP.
We ask the way developers ask, through MCP and CLI, and record who gets named.
Comparisons, complaints, and what people are switching to.
Mentions
Every mention of you and your competitors. Communities, socials, the rest of the web, and AI answers. Classified, sentiment-scored, evidence attached. Nothing you have to go hunt for.
“Is there a cheaper alternative to Ferrix? Pricing jumped again.”
“We tried both — their webhook debugging story is genuinely better.”
“Docs don't cover self-hosted setup behind a proxy. Stuck for a day.”
“Comparing observability tools for our platform team this quarter…”
AI visibility
Every week we ask six AIs your market's questions and track who gets recommended, how that's trending, and which sources the AIs cite — so you can go win the sources.
Sampled AI answers to developer-tool questions this month
Recommendation share, last 6 months
What AI answers cite when your category comes up — each one a place you can go influence
Pro plan raised $39 → $49/mo. Annual discount removed.
Their upmarket move is your window with price-sensitive teams.
Shipped SSO on the Pro tier.
SSO objection is gone — your battle card updated automatically.
New migration guide targeting your customers.
They're courting your users. Time for a counter-page.
Competitors
Pricing, changelogs, docs — watched continuously. Every meaningful change becomes a battle-card update with a plain-English read on what it means for you, not a surprise in your next deal.
Search & SEO
Your positions tracked weekly. Their content mapped against yours. When a competitor's post owns traffic you could take, you get the receipt and the plan.
⚑ Traffic you could take
Their post ranks #2 for “webhook debugging” — an estimated ~1.2k visits/mo. You have nothing ranking.
34 domains link to it, including two newsletters that cover your category — outreach targets, included.
→ drafted into your action plan
Gap analysis → action plan
Eleven dimensions of your market position, scored against the field with evidence behind every score — then each gap becomes a ranked action with the result it should move.
Evidence: 22% recommendation share vs. Ferrix's 41% across sampled AI answers this month.
Why it matters: AI assistants are an increasingly common first stop for tool evaluation. Low share means fewer developers ever see you as an option.
Evidence: 9-step manual setup vs. a 2-step CLI install, cited across 14 threads.
Why it matters: Developers repeatedly cite setup complexity as a reason for choosing a competitor during evaluation.
Evidence: Sentiment on self-hosted docs fell 12 points over the last quarter.
Why it matters: Negative documentation sentiment correlates with higher support load and lower activation.
A mention stream, AI recommendation share, the next action, and a drafted reply that uses your strengths. Example workspace. Fictional competitor “Ferrix.”
Example workspace
Product UI · fictional competitor “Ferrix”
Been using it for three months now — the CLI is genuinely fast, no complaints.
Error messages on failed builds don't say which step failed. Had to add my own logging to find it.
Walkthrough comparing setup time between the two — worth watching before you pick a tool.
Answered my question fast and the docs link actually worked, unlike some tools.
Chat-first
No dashboards to learn. Ask a question in plain language and get an evidence-backed answer.
Setup friction is the clearest driver of switching this month. Developers repeatedly cite Ferrix's one-command install against your multi-step manual setup.12
AI-assisted onboarding also comes up on its own — one comparison post calls it out as the standout reason to pick Ferrix over the rest of the field.3
Ask the market a question in chat. Or pull the same intelligence through API, webhooks, and MCP so your own agents can query it.
Chat
“Why are developers choosing our competitor this week?”
API & webhooks
Structured mentions, gaps, and actions into the tools you already run.
MCP
Let an agent query your market the same way it queries everything else.
A direct line while we build, and a founding discount for life. We send a free snapshot of your mentions and AI visibility within a week.
50 founding spots