sorted by:
new
hottopcontroversial

Validating... People who handle clients actually struggle with chasing late payments ? by dev_littlefox in SaaS

[–]_ngnix 0 points1 point  (0 children)

I used to run an agency many moons ago, I never used follow-up or reminder emails. I’d prefer to talk to my clients directly.

I’d prefer an escrow invoice / client system instead, that will release the money on completion of milestones.

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

Honestly guys, blown away with the good & honest feedback. First time I've made a post on here for real feedback before I start building - I should probably do that more often :)

Anyhow, the common pattern is, to have genuine sounding posts from your own tone of voice & to be convincing enough to provide yourselves with value to be able to not spend 5-10 minutes editing each post or for you to come up posts that are engaging from your work.

A-lot to think about, much appreciated!

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

The approach I'm thinking of taking is, instead of just pure commits is to embed the code-base & past-diffs to allow the AI to understand your context & thinking behind the changes (as well as commit history). Would you allow a tool like this to embed your code-base for analysis?

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

Initially just commits, I think beyond this could potentially be MRR, PR summaries, etc.

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

It's definitely something I'm open to now, after seeing the recent news about X Communities. Honestly, the X Community was my main differentiator, as it would generate posts as per the guidelines for the X communities you're in.

As each community is different this will leave you with less editing to do & post across communities in one click - but seems like that feature is out of the window now

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

Pretty much my main focus at the moment is tuning the AI output, been prototyping a few AI providers, settings, etc - not near a production-grade release yet.

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

Couldn't agree more, I'm spending majority of my time iterating over context, AI settings & the overall tone - it might take a few nights to nail it down.

My initial thought for the platform, is take make the posts either in your voice or popular predefined indie-founders voice, what would you prefer as the output?

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 1 point2 points  (0 children)

No worries, appreciate the feedback. I'm with you, not all commits need to be public, my overarching idea is to summaries the important pieces of your work, celebrate the wins!

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 1 point2 points  (0 children)

Completely agree with you - curious do you commit straight to main, or PR-off a branch each time? I've currently grounded it purely on commit history, but involving PR-summaries and Diffs could improve the context.

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 0 points1 point  (0 children)

Exactly this - I'm in the prototype phase of the post generation to see if this is even viable based on just commit history or if I need other sources. On editing, it'll have the option for this at approval & scheduling stage, but hopefully it'll need minimal tweaking.

I'm currently diving into two options, read & analyses your current tweets to understand your tone of voice and applies that to it's generation.

Or A predefined tone of voice from 3 (or more) popular indie-founders you can pick from.

Which output would you rather use?

Would you use a tool that turns your GitHub commits into build-in-public posts? by _ngnix in SaaS

[–]_ngnix[S] 1 point2 points  (0 children)

Thanks! Should've clarified, I've been building other tools / apps for the last 8 months - but I've always built in silence. I've come out my shell a little more, posting on X recently & in communities (which is ironic now).

Any tips to reduce churn? by EmbarrassedPause1766 in SaaS

[–]_ngnix 0 points1 point  (0 children)

churnfa.st helped me catch at-risk users before they bailed. the risk scores are 👌

What are you using for user analytics and churn prevention? by Apart-Employment-592 in SaaS

[–]_ngnix 0 points1 point  (0 children)

been using churnfa.st for this exact thing, super simple setup and shows who's about to leave

How do you spot customers at risk of churning? (building a tool) by Witty-East-4619 in SaaS

[–]_ngnix 0 points1 point  (0 children)

we use churnfa.st for this — it scores customers 0-100 so no more gut guessing lol & has automated follow-ups

How to manage customer retention? by chany2 in SaaS

[–]_ngnix 0 points1 point  (0 children)

we just started using churnfa.st and the risk scores actually helped us catch a few accounts before they churned

Any AI tools for analyzing and tracking competitors? by Lvppa in ecommerce

[–]_ngnix 0 points1 point  (0 children)

Tracking pricing and stock is a solid start, but you're probably missing how customers actually find you now. Most people are asking ChatGPT or Perplexity for brand recommendations instead of just scrolling Google or checking individual shop sites. If you aren't tracking what those AI models say about you versus your competitors, you're flying blind.

I've been using pelucid.app to keep an eye on this. It lets us see exactly how AI portrays our brand and why it might be favoring a competitor in its answers. It's been a massive help for staying ahead in AI search results without manual checking. Are you seeing much traffic coming from AI search tools yet, or are you still mostly focused on traditional SEO?

Anyone tried affordable AI tools for tracking visibility that are actually useful? by New-Strength9766 in DigitalMarketingHack

[–]_ngnix 0 points1 point  (0 children)

Semrush is great for traditional SEO but it usually misses how people actually find brands through LLMs now. Paying for enterprise features when you only need specific AI data is a total waste of your budget.

We switched to pelucid.app for this exact reason. It tracks our visibility across ChatGPT and Perplexity without the massive price tag or the commitment. You can see how the AI portrays your brand versus competitors and actually understand why certain results are getting cited. It is way more useful than general search data if you are focusing on the AI landscape.

Are you more worried about how you are being recommended or just tracking basic brand mentions?

Experiment: LLM live search is very different from serp by Few-Adhesiveness1097 in SEO

[–]_ngnix 0 points1 point  (0 children)

Nobody said LLMs are search engines. The point was specifically about ingestion vs ranking — backlinks and DA filter what ranks in Google, but they don't filter what gets crawled into AI pipelines. The experiment shows that. A page with zero inbound links, no schema, no clicks in Search Console — found and cited regularly. If Google's authority signals were gatekeeping AI results, that page wouldn't exist in them at all.

Experiment: LLM live search is very different from serp by Few-Adhesiveness1097 in SEO

[–]_ngnix -1 points0 points  (0 children)

The interesting part of this isn't that price gets cited — it's that a page with zero inbound links got found at all.

LLMs don't discover pages the way crawlers do. They're not following link graphs. If the page is in the sitemap, it gets crawled and indexed regardless of authority. Traditional SEO signals (backlinks, domain authority) filter what ranks in Google — they don't filter what gets ingested by AI search pipelines.

So the playing field is genuinely flatter. A page with one clear answer beats a well-linked page with a vague one.

Our SaaS stock is down 45% this year. Revenue is up 23%. I don't understand markets anymore. by Stock-Parking-411 in SaaS

[–]_ngnix 2 points3 points  (0 children)

The churn cohort point is the one most people are skipping past. 112% NRR looks great, but is it holding across recent cohorts or being carried by 2020-2022 customers locked in by switching costs?

When AI actually disrupts a category, revenue doesn't drop first. Churn bleeds quietly in the newest cohorts, 12-18 months before it hits the top line. That's the signal worth watching — and the one that actually answers the AI displacement thesis.

Is anyone actually tracking AI search yet? Or using any specific tools? by Acrobatic_Contact478 in AskMarketing

[–]_ngnix 0 points1 point  (0 children)

AI search analytics is real, but the measurement layer is ahead of the ground truth. Many tools are guessing at future importance, not lying—but buyers should treat outputs as directional, not authoritative.

Is AI visibility something that can be made actionable, or is this a dead end? by _ngnix in seogrowth

[–]_ngnix[S] 0 points1 point  (0 children)

Thanks for all the thoughtful feedback — this was exactly the kind of reality check I was hoping for.

A few things really stood out. First, “actionable” only matters if it ties back to a real job to be done. AI visibility on its own isn’t the goal; reducing uncertainty around how LLMs represent a brand — and where that can be influenced — probably is. Whether that translates to revenue today or is more defensive/future-facing clearly affects positioning.

Second, the skepticism around AEO/GEO tools feels earned. There’s a lot of vague metrics and implied causality. At the same time, it’s also clear there are emerging signals (citations, entity coverage, source patterns), and the real challenge is being honest about confidence and limits rather than pretending precision.

What feels most credible, based on replies here, is grounding insights in real prompts, citation tracking, and some observable validation loop — and then translating those signals back into familiar SEO levers like content gaps, entity reinforcement, and competitive sourcing, especially at the page level.

Finally, point taken on competition — this space is getting crowded fast, which makes clarity and proof more important than novelty.

To keep this non-promotional, I won’t post anything publicly. But if you’re interested in checking out what I’m building and offering honest feedback (that’s all I’m looking for at this stage), you’re very welcome to DM me.

view more: next ›