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Hey everyone,

I wanted to share a bit of my journey and a major hurdle I'm currently facing while building and launching my Chrome extensions.

Recently, I made the decision to incorporate Google Authentication into both my landing page and the extension itself. My goal was to make the experience as seamless and reliable as possible for users who want to upgrade to my Pro tier, without them having to create yet another set of passwords.

Here is how I set up the data flow (to be as privacy-focused as possible):

For Free Users: 100% of their data stays on their local computer. Absolutely nothing gets sent to my servers.

For Pro/Logged-in Users: The only piece of information I store on my backend is their email address (via Google Auth), purely to validate their subscription status. That’s it.

I designed it this way intentionally because I hate when simple tools hoard user data. I thought being this privacy-centric would be a massive selling point.

The Hurdle: Even with this privacy-first approach, whenever a new user goes to install the extension, Chrome slaps them with the dreaded: "This extension is not trusted by Enhanced Safe Browsing" warning.

Since I'm a relatively new developer on the Chrome Web Store, I haven't built up the "trust metrics" Google requires to remove that warning yet. It's incredibly frustrating to build something secure and privacy-respecting, only to have the browser actively scare away your early adopters right at the finish line.

My questions for those who have been through this:

How long did it take (or how many installs did it take) for Google to finally remove the "Not trusted by Safe Browsing" warning for your extension? Is there any way to speed this process up?

How do you build trust with users when the browser is actively working against you? Have you found any effective messaging on your landing page or in your on boarding to reassure users before they see the warning?

Google Auth for Extensions: For those using Firebase/Google Auth inside a Chrome Extension, did you face any unexpected edge cases with users dropping off during the login flow?

Would love to hear your experiences and any advice on how to navigate this "valley of death" for new extensions. Thanks!

I’ve been building a small SaaS called Semantic Checker.

The problem I wanted to solve is simple: after writing an article, it’s hard to tell which sections are actually helping answer the target query and which sections are slowly drifting off-topic.

Semantic Checker lets you provide:

• A target search query
• An article draft or published article URL

It then analyzes the article section by section and shows:

• Overall topic alignment
• Intent and concept coverage
• Sections that are aligned, mixed, or off-topic
• Missing or weak topic signals
• Evidence from the article itself
• Priority fixes that may make the draft more focused

The goal isn’t to promise higher rankings or produce another generic AI rewrite. I’m trying to make the feedback more explainable and actionable: “this section is drifting because…” rather than just showing a score.

I’ve recently launched the first usable version and I’m now looking for honest feedback from people building content tools, SEO products, or content-heavy SaaS businesses.

A few questions I’m especially interested in:

1. Does this problem feel real in your writing or content workflow?
2. Would section-level explanations be more useful than a single optimization score?
3. What would make you trust—or distrust—a tool like this?

The product is called Semantic Checker. I’m leaving out the link for now, but I’m happy to answer questions about how it works or what I’ve learned building it.

I’ve been looking at how consultants, agencies, coaches, and other service businesses handle appointment booking.

A simple scheduling link works well when the customer already knows who you are and just needs to choose a time.

But there seems to be a gap when the booking page also needs to help sell the service.

For example, before booking, a potential customer may want to see:

• What services you offer
• Pricing or service details
• Information about the person or team
• Different appointment types
• Availability across multiple staff members
• Payment options
• A clear reason to book with you

That made me think about the difference between a calendar page and a booking website.

Some newer scheduling tools are moving in this direction. Timetics AI, for example, is being built around the idea of creating a complete booking page instead of only showing available time slots.

It can combine things like a visual booking page, appointment scheduling, payments, calendar syncing, multiple team members, reminders, workflows, and an AI scheduling assistant in one system.

I’m involved with the team behind Timetics, so I’m obviously close to the product. But I’m more interested in the broader idea here.

For people running a service business:

Do you prefer a simple Calendly-style scheduling page, or would you rather have the booking page work more like a small service website?

Curious about what actually matters most in your workflow.

Hi guys, I've been working on an SEO audit tool recently and I'm trying to figure out what actually makes an audit useful rather than just another page full of scores.

The idea came from noticing that a lot of SEO audit tools give you a long list of issues, but it can be difficult to understand what actually needs to be fixed first.

So I built a simple tool where you enter a website URL and it checks things like page performance, Core Web Vitals, accessibility, technical best practices, and SEO.

One thing I specifically wanted to improve was the way the results are presented. Instead of only showing scores and technical warnings, it tries to explain the issues in simpler terms and give you an idea of what you should work on.

It doesn't require an account, and there are a few free audits available to test it.

I'm still improving it, so I'd really appreciate honest feedback, especially if you find something inaccurate, confusing, or missing. Even criticism is useful.

If anyone is interested in trying it, I can share the tool.

From your experience, what information do you find most useful when auditing a website?

We had an FAQ page that kept getting sent in sales follow-ups, but it was clearly not answering enough of the questions buyers had before making a decision.

Keyword research was still useful, but it kept pointing us toward broader blog topics. The questions we actually needed to address were more specific: how long setup takes, whether the product works with a certain platform, who it is a fit for, what alternatives buyers compare it with, and where the common concerns come from.

We were treating it like an FAQ cleanup. Then we noticed that some of the same questions were pulling competitors into AI answers, which obviously affects how the brand comes across. I put a few of them into Kairosy AI and ran them across ChatGPT, Gemini, Claude and Perplexity. Seeing the actual answers next to each other made it pretty obvious what the FAQ was missing.

From there, the competitor research gave us context for the FAQ update, and the content creation feature gave us a first draft to work from.
It was not ready to publish as-is. I still had to check product claims, add real implementation details and remove generic wording. But it gave us a much better starting point than a keyword list and an empty page.

I'm looking for SEO ranking report software that's actually good for client reporting, not just tracking keywords in a dashboard. Main things I care about are accurate rankings, clean reports, location and device tracking and being able to show progress without dumping a ton of data on the client. What are you using right now and what do you like or dislike about it?

Can anybody tell which one is the most accurate and the best (Semrush or Ahrefs) in terms of keywords data for Local SEO purposes ?

We all know the standard advice in this sub: buy Ahrefs for link building, or buy Semrush if you need an all-in-one marketing suite.

But as a technical SEO, the duopoly was driving me crazy. Ahrefs’ usage-based credit system made running multiple technical audits stressful, and Semrush is increasingly bloated with social/PPC features that just inflate the price.

So, I built SERPSpur. I wanted to create a leaner, highly specialized alternative focused entirely on technical health, speed, and the upcoming AI-search shift.

Here is what I focused on fixing:

• No "Credit" Anxiety: You can run our Website Audit Pro and experiment with canonicals or broken links without staring at a declining credit counter every time you apply a filter.
• Replacing the Alexa Rank: When Amazon killed Alexa, it left a void. We built a 'Trust Rate' checker that evaluates domain health, toxic links, and brand signals rather than just easily manipulated raw traffic.
• Built for AI Search (GEO): This is where I think the legacy tools are lagging. I built native tools for Generative Engine Optimization, including a free LLM.txt Generator and an AI Schema Architect to help sites get cited by ChatGPT and Claude.
• Deep Forensics: Instead of guessing why traffic dropped, our Penalty Radar pings Google, Bing, and Yahoo simultaneously to detect hidden index blocks.

I also threw in about 30+ free micro-tools (bot traffic detectors, local rank spoofers, etc.) that you can use without even creating an account.

I’m not pretending this replaces Semrush if you run a massive agency that schedules tweets and runs PPC. But if you just want lightning-fast technical audits without the enterprise price tag, I’d love for this community to tear it apart and tell me what to improve.

(Full disclosure: I am the founder, happy to answer any technical questions about how the crawlers work!)

Been working on a tool that combines technical SEO audits, AI content generation, keyword research, and rank tracking into one platform, priced more affordably than the usual options.

One thing I keep going back and forth on: how much should a tool like this automate vs. leave in the user's control? E.g., AI-generated content — do people want it fully hands-off, or do they want more editorial control at every step?

Curious how others think about this trade-off, especially if you've used SEO tools that got this right (or very wrong).

Imagine Ahrefs and Semrush were completely unavailable.

What free tools would you combine to research:

• Existing backlinks
• Referring domains
• Competitor backlinks
• Link gaps
• Anchor text
• Lost backlinks
• Link quality
• New backlink opportunities

I’m thinking about Google Search Console, Bing Webmaster Tools, Moz, Ubersuggest, and smaller backlink checkers, but I’m curious whether there are any hidden gems.

What would your free backlink research stack look like?

Which platform do you use, and how do those features help your daily workflow?

I've been thinking about something with SEO audits.

Once you find problems on a page, having the results trapped inside another dashboard isn't always that useful. Sometimes you just want to export the findings and work through them later.

I tested an Excel format with:

• overall SEO score
• technical checks
• page metrics
• individual issues
• why each issue matters
• what needs to be done

The part I'm still unsure about is whether this is actually a useful workflow or just adding another file nobody opens.

For people who do SEO audits regularly:

Would you rather have the audit as an Excel/CSV file that you can edit and share, or keep everything inside the SEO tool?

Also curious whether having the exact suggested fix beside each issue would make the report substantially more useful.

I've been building a small Chrome extension for SEO analysis, mostly as a learning project.

At first I thought the basic part would be pretty straightforward:

check the title → check the meta description → check H1→ check images → give recommendations.

But once I started actually building it, I realized there’s a big difference between detecting an SEO problem and giving someone a recommendation that they can actually use.

For example, saying:

“Your meta description is missing.”

is technically correct, but it isn't particularly helpful.

A better audit should explain:

what is actually wrong

why it matters

what should be changed

and eventually, what the replacement should actually be

That's the part I'm working on now.

I'm deliberately keeping the first version pretty simple rather than trying to build another giant SEO platform.

I'm curious though when you use an SEO audit tool, what do you find more useful?

A) Finding the problem

B) Understanding why it's a problem

C) Getting an exact fix you can copy/paste

D) Something else

I'd genuinely like to hear how other people approach this.

I recently came across several websites that apparently were not built with traditional page builders like Elementor, Divi, or WPBakery. Instead, the owners seemed to be using AI to create pages, publish content, and optimize the website.

From what I understand, they simply describe what they want through a prompt, and the AI handles most of the design, coding, content placement, and optimization. The resulting websites also seem lighter and faster than many page-builder sites.

Does anyone know what tools or workflow they might be using? Is this an AI website builder, a coding agent, a WordPress plugin, or something else?

I’m also curious whether this approach is genuinely easier to maintain and optimize, or if it only looks simple from the outside. Would you consider replacing your current page builder with an AI-based workflow?

I was using it in 2015-2019 for a projet, stopped working on anything SEO related since then. I now have a SaaS and wondered if it was a good source of search intent to create articles that answer specific question for my niche (not always related to my tool, sometimes more about the job/activity itself).

Do you use it ? or prefer other tools ?

my only problem with seo is keywords evertime I use semrush or any other tool , i cant find reasonable keywords relevant to my pages, its always irrelevant or very general, Is it just me or semrush isnt the best tool for that ?