u/Difficult_Celery3458

Hey r/nextjs,

We built a tool called Velyr to automate conversion rate optimization specifically for the Next.js/Vite ecosystem.

Instead of using client-side scripts that mess with the DOM and tank your Core Web Vitals, Velyr works directly with your codebase to implement clean, component-level fixes based on real user data.

The workflow:

1. It connects to your PostHog instance to monitor user behavior, drop-offs, and layout friction.

2. It identifies UI bottlenecks and generates the exact React/Next.js code needed to fix it.

3. It opens a GitHub Pull Request and texts you via Telegram.

4. You approve the PR directly from your chat.

5. Auto-Revert: If PostHog data shows a 15%+ bounce rate spike or a conversion drop within 48 hours, Velyr automatically reverts the PR.

This keeps your site fast, ensures clean code in your repository, and safeguards your production environment.

We'd love to get some technical feedback from fellow Next.js devs on this setup.

Hey everyone,

Most e-commerce brands sit on a goldmine of user data but lack the time to constantly analyze it and implement UI changes to fix leaky funnels.

We built Velyr to bridge the gap between analytics and implementation for modern e-commerce setups (especially Next.js headless commerce and Shopify).

Instead of guessing what changes will increase your AOV or add-to-cart rate, Velyr automates the entire cycle safely:

It pinpoints friction points in your funnel using live analytics.

It designs and codes the exact fix (button placements, copy tweaks, layout adjustments).

It requests your approval via Telegram before anything touches your live store.

It monitors the data for 48 hours. If the change hurts conversions or spikes your bounce rate, it immediately auto-reverts.

No endless meetings, no expensive CRO agencies, and zero risk of a bad layout tanking your sales over a weekend.

We’d love to get the community's feedback on this approach.

How are you currently handling funnel optimization, and where does your current process break down?

Hey everyone,

Like most SaaS founders here, we know we should constantly optimize our landing pages and onboarding funnels. But honestly? Digging through PostHog clickmaps, funnels, and bounce rates every single week is tedious and time consuming.

At the same time, we’re terrified of generic AI tools that blindly tweak copy or components and end up breaking production or hurting conversions.

So we built Velyr.

It’s an agent designed specifically for React/Next.js/Vite sites and Shopify stores.

Here is the exact workflow we built to keep total control:

1. Velyr reads your frontend analytics (traffic, scroll depth, ...) via PostHog.

2. It identifies the biggest conversion bottlenecks and actually writes the code fix.

3. It opens a clean GitHub Pull Request (or drafts a Shopify theme change) and alerts you via Telegram.

4. You simply reply YES/NO to the Telegram message to deploy it live.

Because we are paranoid about AI making things worse, Velyr monitors the site for 48 hours post-deployment.

If things get worse, it automatically rolls back the changes. No harm done.

We just launched and would love your brutal feedback.

Would you trust an AI agent with your SaaS funnel if it had a built-in safety net like this?

Posting this because I couldn't find much written about this process when I was going through it, and figured other Shopify app builders might run into the same wall.

If your app needs to write directly to a merchant's live theme (not just read, not just a GitHub PR to review, actually push files to production), Shopify gates that behind something called a Protected Scope Exemption. It's a manual review, not a checkbox in the partner dashboard.

Few things I didn't expect going in:

They want to see the actual write flow, not just a description of it. I ended up recording a full screencast of the approval loop end to end (my setup uses a manual yes/no confirmation before any write happens, similar to how deploy approvals work in CI/CD) and that made the back and forth with the reviewer much faster than the written explanation alone.

Rollback matters more to them than the write logic itself. They asked pointed questions about what happens on a partial failure, if you're writing 5 files and file 3 fails, what's the state of files 1, 2, and 4. Having a real answer for that (checksum re-verification, per-file failure tracking) mattered more than I expected.

It's slow. A few weeks of back and forth, not a fast approval.

Happy to answer specifics if anyone's building something similar and hitting the same wall.

Building something solo from Munich and wanted to share where I'm at – partly to get some feedback, partly because I think some of you might relate.

I've been working on Velyr for the past few months. It's an Agent for small SaaS/web businesses – connects to your analytics and GitHub repo, runs every week, auto-generates PRs with conversion fixes, and rolls back automatically if metrics get worse. Approve or reject via Telegram.

The idea came from a frustrating pattern I kept seeing: solo founders and small teams know their conversion rate sucks, but between building and everything else, the optimization work never actually happens. Velyr tries to close that gap without adding another thing to the todo list.

Currently €29/month. Still early, finding my first real users.

What I'd love to know:

- Anyone here running something similar (analytics → automated fixes)? What did/didn't work?

- How did you get your first paying users in the EU market specifically?

Happy to share more about how the agent works if there's interest. Feedback is genuinely welcome, good or bad.

My last SaaS failed. And looking back, part of it was that I spent weeks doing this exact thing:

Open PostHog,

stare at the drop-off,

invent a reason.

"probably the CTA."

"maybe the form is too long."

"could be mobile." Ship something random. Feel productive. Repeat.

I shut that product down still not really knowing what killed it. That bothered me more than the failure itself.

So when I started my next thing I just built the system I wished I'd had.

Hooks into PostHog and my GitHub repo, runs every Monday, finds the biggest drop-off, opens a PR with a fix.

I say yes or no on Telegram.

If metrics get worse it rolls back automatically.

Called it Velyr. (Name makes zero sense for what it does, I just liked how it looked written down.)

Has anyone else just automated away the parts of founder life they're consistently bad at? Feels a bit like cheating but I've shipped more real fixes in the last 3 weeks than in the 2 months before my last thing died.

With my last product I fell into a trap I didn't see coming.

Every week I'd find something broken with conversions, a CTA in the wrong place, confusing pricing, drop-off somewhere in onboarding. Small stuff. But I'd fix it manually, it'd eat half my week, and the actual product work didn't happen.

Hiring an agency wasn't realistic. And I never found a middle ground between "do it all yourself" and "pay someone a lot of money to do it for you."

So I built Velyr. It's like having someone look at your data every monday and tell you exactly what to change, except it also writes the code.

Still early and testing with first users. If you're running a SaaS and this sounds familiar, happy to hear what your current process looks like.

Standard analytics tell you where users are dropping off, but you still have to manually dig through your codebase, find the broken UX component, and write a patch.

I got tired of doing that, so I built Velyr. It maps your PostHog drop-off data directly to your GitHub repo, pinpoints the friction point, writes a targeted code fix, and opens a PR for you to review. It does not auto-merge to production.

I know the idea of letting an AI touch your codebase based on telemetry data sounds borderline insane to some people.

Be completely honest: Is this a genuinely useful tool for solo founders and small teams, or did I just over-engineer a solution to a problem that doesn't exist?

I've been building an AI agent for the past few months that connects to a GitHub repo + PostHog, finds the highest-impact conversion problem on the site each week, writes the actual code fix, and opens a PR. You get a Telegram message, approve or reject it. If the numbers drop after merge, it reverts itself.

Shipped it publicly a few weeks ago. Curious what people here think about this kind of agent, the "identify problem -> write fix -> measure -> revert if bad" loop.

Most CRO tools stop at the dashboard. This one uses the data to write the fix and open a PR - the dashboard is there, but it's not the main point. The bet is that for solo devs or small teams, the bottleneck isn't knowing what's broken, it's having time to fix it.

Does that framing make sense to you, or is handing code changes to an agent still too much trust for most people?

Posted here a while back when Velyr was mostly a website scan/audit tool. That's gone — rebuilt everything around a proper Growth Agent.

Here's what it actually does every week:

Connects to your GitHub and PostHog, reads your full funnel, scroll depth per page, and click behavior — then identifies the #1 conversion problem. Writes the fix as a Pull Request. You reply YES or NO on Telegram. If you merge and the metric drops, it rolls back automatically.

The dashboard shows everything in real time: active issues, expected CVR impact per fix, which component needs the fix, agent win rate, next run countdown, and a full activity log of what the agent did last run — from fetching the repo to opening the PR.

Beyond the weekly fix loop:

• Scans your competitors weekly
• Enforces your brand guardrails so it never ships something off-brand
• Builds a Business DNA profile — gets smarter the longer it runs
• Weekly Telegram summary + monthly roast report with brutal honest analysis
• Public impact timeline you can share with clients or investors

Happy to answer how any of it works.

Been down the rabbit hole on this so figured I'd share what actually works.

Most audit tools give you a 40-page PDF full of stuff like "add alt text to images" and then you're on your own. Here's what's worth using depending on what you actually need:

Google PageSpeed Insights - free, shows exactly what's slowing your site down with specific fixes. Start here.

Screaming Frog - free up to 500 URLs, crawls your whole site for broken links, missing meta tags, redirect chains. More technical but worth it.

Hotjar - free tier shows where people actually click and where they drop off. Heatmaps are genuinely useful.

SEOptimer - quick overall health check, good for a first pass.

Velyr - newer one, does a free scan in 60 seconds and covers SEO, mobile UX, CTA placement, page speed and social presence in one go.

The honest truth is most small business owners don't have time to dig through audit reports. The scan is useful but acting on it is where most people get stuck.

What's everyone using?

I’ve been building a tool with two main parts:

1. Scans
You connect your website (and optionally analytics/socials) and it analyzes things like:

• conversion bottlenecks,
• UX issues,
• SEO/performance problems,
• weak copy,
• missed growth opportunities.

Basically an in-depth growth audit instead of a generic “website grader”.

2. The agent
This is the more experimental part.

The agent continuously monitors the site, suggests improvements, can generate actual code fixes, open GitHub PRs automatically, and rollback changes if performance drops.

So the scans tell you what’s wrong.
The agent tries to help fix it continuously.

My problem is positioning.

It feels like it sits somewhere between:

• AI audit tool,
• CRO software,
• AI dev assistant,
• and autonomous growth tool.

Would this immediately make sense to you if you landed on the website?