
Spectry
All-in-one conversion diagnostics and testing for websites.
Tagline
Find conversion leaks. Test fixes fast.
Observe behavior, diagnose friction, launch tests.
Replace your CRO stack with one decision engine.
Find the broken checkout, prove the win.
The first decision engine for conversion optimization, not just another analytics dashboard.
The site repeatedly contrasts itself with analytics tools that only show what happened; Spectry explicitly claims to tell users what to fix and lets them test it immediately.
Replace Hotjar, Clarity, GA, VWO, Sentry, and survey tools with one privacy-first stack.
The comparison section is unusually direct and lists named alternatives, making stack consolidation the most concrete buying trigger for budget-conscious teams.
Find the broken checkout, launch the test, and prove the win in one workflow.
The product’s strongest proof points are the AI audit, checkout error examples, funnel drop-off tracking, and built-in A/B testing, which naturally support a pain-killer narrative around conversion recovery.
Primary user
Growth or product manager at a SaaS or e-commerce company responsible for conversion rate optimization and funnel performance
ICP #1
Growth marketing manager at a B2B SaaS company with 20k-200k monthly sessions
Pain
They know activation or demo-request conversion is underperforming, but they are stuck bouncing between GA4, Hotjar, Sentry, and VWO to figure out why.
Why this solves
Spectry combines behavioral data, error context, AI-detected issues, and experiment execution in one flow, so the manager can identify friction, propose a fix, and test it without stitching together multiple tools.
ICP #2
E-commerce conversion rate specialist at a Shopify brand spending on paid traffic
Pain
Traffic is expensive and checkout abandonment is eating margin, but the team lacks a fast way to see mobile friction, weak CTAs, and page errors in one place.
Why this solves
Spectry surfaces checkout-specific issues like CTA placement, rage clicks, and error spikes, then gives ready-to-run A/B test ideas so the team can improve conversion faster than manual analysis.
ICP #3
Small agency founder or CRO consultant serving multiple SMB websites
Pain
They need to deliver clear, client-friendly recommendations fast, but each engagement usually requires several disconnected tools and screenshots to prove a point.
Why this solves
Spectry’s automatic CRO analysis, dashboards, replays, and A/B testing create a packaged audit-to-experiment workflow that agencies can use to show value quickly and justify retainers.
Strengths
- +The product story is coherent: collect behavior data, detect issues automatically, then run A/B tests from the insight.
- +The comparison section names specific competitors, which makes the replacement narrative tangible rather than abstract.
- +The free CRO audit with a predicted conversion rate gives visitors an immediate taste of the product value.
Weaknesses
- −The page is trying to be too many products at once: analytics, QA, CRO, security monitoring, survey tool, and experimentation platform. That dilutes the core buying reason.
- −The vulnerability detection feature feels bolted on and risky as a headline feature; it may confuse buyers who came for CRO and make the product seem less focused.
- −The use cases are too broad and somewhat sloppy, especially the strange healthcare link under Media & Publishing, which hurts credibility.
- −The visual hierarchy is crowded with too many feature blocks and repeated CTAs, making the actual differentiator hard to remember.
- −The AI claim is repeated often, but the page does not show enough specificity about how insights are generated beyond generic examples.
Fix these
- Choose a primary wedge and headline it harder: checkout optimization for e-commerce or onboarding optimization for SaaS, not both equally.
- Move the security/vulnerability feature into a secondary trust section instead of leading with it on the homepage.
- Add 2-3 concrete customer stories or before/after examples showing an actual insight, test, and conversion lift.
- Simplify the feature architecture into three pillars: observe, diagnose, experiment. Everything else should support those pillars.
- Replace generic AI language with specific output examples, such as the exact recommendation text, the exact funnel issue detected, and the resulting lift from a test.
Drop-in replacement copy
Headline
Find conversion leaks fast
One script for heatmaps, replays, funnels, errors, and tests.
See where users actually get stuck
Heatmaps, replays, and funnel drop-offs show the exact step where people hesitate or quit. You stop arguing from opinions and start looking at behavior.
Get concrete fixes, not vague dashboards
Every 12 hours Spectry scans for rage clicks, broken forms, weak headlines, slow pages, and error spikes. It turns those signals into specific recommendations you can act on.
Run experiments from the same screen
When you know what is broken, launch an A/B test immediately. Spectry keeps the feedback loop tight so you can prove whether the fix works.
Replace a messy CRO stack
Use one tool instead of stitching together analytics, replay, survey, error, and testing platforms. That means fewer tabs, less context switching, and faster decisions.
FAQ
Is Spectry for SaaS or ecommerce?
Both, but the clearest wedge is conversion-heavy teams that need to find friction fast. If you care about signups, demo requests, or checkout completion, it fits.
How is this different from Hotjar or Clarity?
Those tools show behavior. Spectry shows behavior and then tells you what looks broken, what to fix first, and how to test it.
Do I need a bunch of tags or scripts?
No. Spectry installs with one script and starts collecting the data needed for replays, funnels, heatmaps, feedback, and error context.
Can I run A/B tests without another platform?
Yes. You can launch tests directly from the insight workflow instead of exporting notes into a separate experimentation tool.
What about privacy and security?
Spectry is built as a privacy-first platform and includes vulnerability signal detection as a trust layer. It should support your team’s CRO workflow, not complicate it.
Hotjar, GA, Sentry, and VWO are a lot of tabs. Spectry turns them into one workflow: observe behavior, flag the issue, launch the test. Built for teams tired of stitching together clues just to fix one funnel leak.
Your checkout is leaking money quietly. Spectry watches clicks, replays sessions, flags errors, and suggests fixes every 12 hours. Then you can test the fix from the same place. Less guessing. More conversions.
We kept seeing the same mistake in CRO tools: They show data, but they don't push you to the next decision. So we built Spectry to do the annoying part: find friction, explain it clearly, and turn it into an A/B test.
A replay is not the insight. The insight is: 38% of mobile users rage-clicked the CTA because the form pushed the button below the fold. Spectry surfaces that kind of problem automatically, then lets you test the fix.
One audit found three checkout leaks: - a broken promo code field - a CTA buried on mobile - a form error users never saw That is the point of Spectry. Not more dashboards. Better decisions.
If your funnel is flat, start here: find the step with the biggest drop-off, watch the replays, read the errors, and test the simplest fix. Spectry puts that loop in one place so you stop debating what happened.
Built a privacy-first CRO stack for teams that hate tool sprawl. Heatmaps. Replays. Funnels. Feedback. Errors. A/B tests. One script. One place to look. One workflow to improve conversion.
Every 12 hours, the product audits itself. It looks for rage clicks, slow pages, weak headlines, error spikes, and weird drop-offs. Then it tells you what to fix first. That saved us from building another pretty dashboard.
Watch users fail before they churn. See where they hesitate, where they click too much, where the form breaks, and where the page loses them. Then ship a test from the same screen.
The best CRO tools still need a human to connect the dots. Spectry does the dot-connecting for you. It shows the friction, writes the recommendation, and gives you the experiment path.
Angle: replace tool sprawl with one CRO workflow
Most conversion teams don’t have a CRO problem. They have a tool sprawl problem. One tab for heatmaps. One for replays. One for analytics. One for errors. One for experiments. One for surveys. Then someone has to manually connect all of it into a decision. That’s why we built Spectry. It installs with one script and gives you the whole loop in one place: observe behavior, diagnose friction, launch the test. Every 12 hours it scans for issues like rage clicks, broken forms, weak headlines, and drop-off spikes. Not vague “AI insights.” Actual recommendations tied to the data. The goal is simple: find what’s hurting conversions and fix it immediately. If you’re a growth lead, product manager, or CRO consultant, that workflow matters more than another dashboard.
Angle: checkout and funnel leaks for ecommerce teams
Paid traffic is expensive. So when checkout conversion drops, you don’t need more opinions. You need to see exactly where people get stuck. That’s the wedge we built Spectry around. Click heatmaps. Session replays. Funnel drop-off tracking. Error logs with context. AI that flags the likely friction points every 12 hours. For ecommerce teams, that means you can spot things like: - CTA placement that fails on mobile - form errors users never notice - coupon fields causing abandonment - slow pages killing intent Then launch an A/B test from the same place. No stitching together screenshots and exports. No “let’s circle back next week.” Just a fast loop from problem to test. If your checkout is leaking margin, that speed matters.
Angle: decision engine, not analytics dashboard
Analytics tells you what happened. CRO teams need to know what to fix next. That’s the difference. Spectry is built as a decision engine, not another dashboard. It watches behavior across your site, pulls in replays, funnels, feedback, and errors, then surfaces the most likely conversion blockers. The point isn’t more data. The point is less guessing. If the AI sees rage clicks on a CTA, repeated form errors, or a page that’s bleeding users at one step, it doesn’t just report it. It turns that into a recommendation and a test path. That’s the workflow most teams want but never actually get: 1. Find the friction 2. Understand why it’s happening 3. Test a fix 4. Measure the lift That’s the product. Everything else supports it.
No visuals for this kit yet.
Tagline
Conversion diagnostics and A/B testing in one tool
Description
Spectry finds funnel leaks with heatmaps, replays, errors, feedback, and AI insights, then lets you launch A/B tests from the same place. One script. Less tool sprawl. Faster fixes.
Maker's first comment
We built Spectry because CRO work kept turning into tool archaeology. You’d check GA for drop-off, Hotjar for replays, Sentry for errors, surveys for feedback, then spend an hour translating all of that into one recommendation. That is fine once. It is not fine every week. Spectry is our attempt to make the workflow obvious: observe what users do, diagnose the friction, then test the fix immediately. Every 12 hours it scans the data for issues like rage clicks, weak headlines, broken forms, slow pages, and checkout errors, then surfaces what looks most urgent. The thing I’m most excited about is that teams can go from “something is wrong” to “here’s the test” without switching tools five times. If you try it, I’d love feedback on the clarity of the insights and whether the recommendation-to-test flow feels actually useful in practice. That part matters more than adding more charts.
Pinned maker comment
Would love feedback on one thing: do the AI recommendations feel specific enough to act on, or do they need more context/examples before they’re useful?
Meta
Your checkout leak is costing you today.
Hypothesis: ecommerce teams with paid traffic will convert more when they can see friction, errors, and replays in one place. Spectry shows the leak, explains it, and lets you test the fix without switching tools.
Google Search
CRO software that finds the problem
For growth and product teams comparing Hotjar, Clarity, GA, Sentry, and VWO. Hypothesis: teams want one workflow to detect drop-offs, review replays, and launch tests faster than stitching multiple tools together.
Reddit Promoted
Stop guessing which funnel step broke.
Hypothesis: founders and indie operators in CRO-heavy subreddits are frustrated by scattered analytics and want a cheaper way to find conversion blockers fast. Spectry combines replays, funnels, errors, feedback, and A/B tests in one place.
Subreddits
r/indiehackers
Share the story of building a decision engine for CRO after getting tired of tool sprawl
Rules: No pure product drops; share lessons, numbers, and what you learned
r/SideProject
Show the product demo and the specific problem it solves for small SaaS founders
Rules: Must be a real side project; be transparent that you made it
r/microsaas
Talk about a focused CRO workflow for small teams and agencies
Rules: Keep it useful, practical, and avoid spammy launch language
r/EntrepreneurRideAlong
Post a build-in-public update about how you found the problem and what early users are saying
Rules: Share the journey and metrics; don’t just ask for signups
r/shopify
Talk about checkout abandonment, mobile friction, and how to spot issues faster
Rules: Value-first only; check promotion rules carefully and avoid obvious self-promo
Communities
Publish a specific teardown of a funnel problem and the exact insight Spectry surfaced; reply to every comment with useful detail
Join revenue and growth discussions, share CRO lessons, and offer audits only when someone asks for help
Post one concrete experiment breakdown with before/after data instead of a product pitch
Cold outreach template
Hey {firstName} — saw {context} and it made me think of a problem Spectry solves: finding conversion leaks without bouncing between five tools. If you want, I can run a free audit on one page and send back the top friction points. No pitch deck, just the output.
Product Hunt timing
Launch on Tuesday at 12:01 AM Pacific Time. That gives you the full US workday for growth and product buyers, plus enough runway for Europe to catch it in the morning and for west-coast SaaS teams to engage early.
Indie Hackers post ideas
- 01I stopped using 5 tools to debug one checkout
- 02What our first 10 CRO audits revealed about real conversion leaks
- 03How we turned replays, errors, and A/B tests into one workflow
Competitor alternatives
Current tone of voice
Direct, performance-oriented, and slightly urgent, with lines like "Find what's hurting your conversions and fix it immediately" and "Stop guessing. Start understanding."
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