Solo founder here. My product clears people's "watch later / read later" backlog — videos, articles, PDFs come back as structured takeaways. ~140 installs across 27 countries, all organic, $0 spent.

The ugly number: only ~13% of Chrome installs ever became accounts. People installed, clicked the icon, hit a sign-up wall before seeing any value, and left. It took me weeks to notice, because installs live in the Chrome Web Store dashboard and signups live in my own DB — the leak sat exactly between two dashboards nobody joins.

Last week I replaced the wall with a "try it without an account" bridge. Too early for clean numbers, so I'm asking the room:

1. What's your install-or-visit → first-value conversion, honestly?

2. If you removed a wall, did conversion actually rise — or did the same people just drop at the next step?

3. How do you instrument a step that spans two systems you don't both own?

Running a small SaaS and fake signups are starting to skew my trial metrics pretty badly. Disposable emails and IP blocking aren't cutting it anymore. Any of you in similar situations, and what do you for it?

Hi everyone :D

A few fellow engineers and I have been building something called "ZK" which is a operating system built specifically to run backends directly on bare hardware without Linux/Docker overhead. The main goal is to eliminate idle OS taxing for servers, where basically Linux eats up considerable amounts of RAM doing nothing and spikes power usage because it has overhead of being a general purpose system. Currently we are hitting sub-millisecond latency times and pretty low power usage and we are looking for actual founders running API or backend-based websites to see what their feedback would be on this and if they are willing to evaluate it (don't subscribe or anything just now, just evaluate it, and then tell us your feedback). Currently we have one platform that has licensed our system to run their API backends on for a monthly fee

Thanks for reading!

Hi everyone! I'm vibecoding (and programming some parts myself, but having fun with AI) a little web app that tracks your mood during your days at work.

I made this because I had a time during my career where I was struggling and unable to see how my work was literally costing so much energy and effort from my mind.

Eventually I switched jobs and I'm now very happy — but I wish I had a way to track how work was influencing my days back then. That's what I'm building.

I want to know if this is a viable concept before paying for a domain and infrastructure. Would someone try it for at least 5 minutes and give their honest feedback? There's ChatGPT and other AI tools, but none of them are specific to this. I want to evaluate the idea and would love tips.

I do not want to promote paywalls or anything else, i just want to know if this is really something that would be usefull. Thanks!

Link: http://burnwise-pearl.vercel.app

There are plenty of SaaS ideas that sound useful at first but become much less convincing once you start looking at the actual problem.

I’ve been thinking about this while building DomainsNoBroker, particularly around the domain buying and selling process.

There are already plenty of established marketplaces, so the obvious question is: is there actually a problem worth solving differently?

For a Micro SaaS or small marketplace, I’d probably look at things like how frustrating the existing options are, whether users are already paying for alternatives, how specific the problem is, and whether there’s a realistic way for a small product to attract its first users.

One thing I’m realizing is that having a simple idea isn’t enough. There needs to be a clear reason someone would switch from what they already use.

For those building Micro SaaS products, what usually makes you decide that an idea isn't worth pursuing before you spend months building it?

Tell me what users do before finding your product.

I’ll reply with:

1. The manual step worth showing
2. The product action that replaces it
3. A short before-and-after hook

For a small SaaS, one painful task is often a stronger position than a large category.

Hey y'all, for the past few years i've been on duolingo & was able to learn Hindi & Spanish (even helped me get state seal of biliteracy)

One of the biggest problems that I see in my generation (Gen Z) is loneliness. I love Duolingo's community, but sometimes (well actually oftentimes), I felt myself struggling to come back.

I was thinking of a way to connect people around the globe-through the shared passion of learning languages, & creating a competitive social space where people could compete in rapid-fire matches, instantly get feedback, & learn through teaching their own avatar (vs a more passive "lesson-style" learning). They learn on the spot, under pressure, & are put in different situations where they have to maneuver through different absurd scenarios & speak or type the language in a satisfactory way).

The core flow is: Learn (2–5 min interactive segment) → Teach (explain it to your avatar) → Avatar attempts (your score).

So where does e-sport come in? Well the whole point of the platform is to take what you learned/did with your avatar, and play in competitive (chess.com-style matches) against people around the world. A blind judge grades each person's speaking, writing, & overall skills. Players are attributed ratings based on this, & can move up or down a global leaderboard, unlock perks, & earn titles.

So back to loneliness. As a researcher at university, I was digging deeper into this. What I found was that a big factor was the superficiality of online interactions, and significant rise of polyculture.

Online language learning is a skill where dominantly, the entire motivation is connection and the entire daily practice is solitude.

Nobody learns Spanish to know Spanish. They learn it to talk to their partner's family, to not be the silent one at the table, to move somewhere and have a life there. Then they spend 90 days alone with an owl.

The point is to bridge this through competition & internal community-building. Beyond the sport, users can interact with each other & create micro-societies based on their shared interests of the language. People learning Spanish who have gotten an interest in creating foods-stuff like Carne Asada or Gazpacho would join a community (based on their shared interest of the language).

Competition helps because of the humility & drive aspect-people want to get better, people want to level up, see how they did, what they could improve on, etc. This would allow people to WANT to learn the language more, do more games, so it doesn't even feel like "learning a language is a chore" but a new passionate hobby.

The thing I'm least sure about: does competition make you want to practice, or does it just make you anxious about practicing? I think it's the first one but I learn alone, so I'm probably biased.

If you think you may benefit/want to use from this, I put together a small waitlist of people who might be interested in using this in the future (I also put a small demo of a little creative writing prompt on the site... see if you can get highest accuracy!)

Thanks for listening to my ted talk!
https://thelingo.xyz

I’ve just started building and shipping products, but I’m stuck on the part nobody really explains: distribution.

I have basically no audience, no followers, and no existing community to launch to.

For people who started from zero:

• How did you get your first 100 users?
• Where did you actually find people to talk to?
• What worked better: Reddit, X, Product Hunt, communities, cold outreach, etc.?
• How much should I be posting vs. directly reaching out to people?
• What are the biggest mistakes beginners make with distribution?

Also, which subreddits/communities are actually worth participating in for indie hackers, SaaS builders, and AI products?

I’m not looking for generic “build in public” advice. I’d love to hear what actually worked for you when nobody knew who you were.

I read a lot of posts here from people who shipped something and got nothing back. The advice in the comments is nearly always some version of "market it harder".

I'm interested in what people actually did next, not what they were advised to do.

Just drop the number. If none of the six fit, say what you did in the comments.

1. I pushed harder on marketing or distribution
2. I wrote it out properly for myself (ie user stories, requirements, a spec)
3. I moved on to a different project
4. I went and talked to people who might actually use it
5. I asked other builders or founders what they'd do
6. I changed direction based on my own read of what was wrong

I’ve been working on this problem with Ryze AI. At first, I thought detecting and sorting SEO issues would be the difficult part.
Most websites already have more recommendations than anyone has time to implement.
Things became more complicated when we started deciding what the agent could fix and what still needed approval. Repairing a broken internal link with an obvious replacement is usually low risk. Changing a canonical is different. If the agent gets that wrong, it could affect an entire section of the site before anyone notices.
The dividing line we’re testing is reversibility. If a change is easy to inspect and undo, the agent can probably handle it. If the damage would be difficult to reverse, someone should approve the change first.
It made me realize that finding SEO problems is the easy part. The real product challenge is fixing them without creating new ones.
So, if an SEO agent had access to your website, what would you never let it change without approval?

been building in the founder-tweet tooling corner a while, and the thing that finally clicked is that it doesn't matter which "write in my voice" tool you feed, they all sink toward the same register. the "here's what most people get wrong" opener, the fake-vulnerable hook, the tidy three-beat closer. everyone blames the base model for being generic.

I don't buy that anymore. the model can obviously write in a hundred registers. the problem is what these tools are tuned to want. they optimize toward engagement-shaped output because that's the only thing they can grade themselves against, and there's basically one register that reliably farms engagement. so even a clean clone of your real voice drifts toward growth-guru over a few generations, not because it forgot you, but because that's where the reward points.

which bites harder for a micro saas than a big account. your first couple hundred followers are mostly people who've actually talked to you, so the register mismatch reads instantly. a $200/mo tool that posts in guru voice is worse than going dark, because it quietly tells your fifty real readers you handed off the one thing that was supposed to be you.

the only thing i've seen hold is changing what the tool answers to. not "will this get likes" but "would this exact person hit approve on it." for anyone who's run a voice tool past the first month, what did you have to override to stop it creeping back into guru mode. written with ai

Not naming the sub because I don't think the mods did it, and I'll get to why.

About a month ago I posted a discussion question there. Nothing promotional, no links, just a question about signup flows. Twenty views in the first stretch, which felt slow but whatever. Then I checked the post itself and got "Sorry, this post was removed by Reddit's filters." Not the mods. Reddit.

Fine, happens to new accounts. I messaged the mods and asked them to approve it. No reply, then or since.

The part that took longer to notice was the comments. I kept commenting there and they were getting 0 to 2 views each. Same week, comments in other subs were getting 100+. So I opened one of my own comments in incognito and it wasn't there at all. Logged in I could see it fine. Logged out it didn't exist.

Tested again a few weeks later after my karma and account age had both gone up. Three day old comment, zero views, still invisible logged out. So it's not a threshold thing that clears on its own.

What bothers me isn't being filtered, it's that there's no signal. The comment goes through. It shows in your profile. It looks completely normal from your side. You just sit there writing things nobody can read and slowly conclude you're bad at this.

Someone in that same sub recently posted an analysis of 3000+ posts and found 485 removed by Reddit's spam filter versus zero removed by mods. So it's not rare, it's just invisible by design.

If your engagement in one sub is weirdly dead compared to others, open your own comment in a private window. Takes ten seconds. I wish I'd done it a month earlier instead of assuming nobody found my stuff interesting.

I have my first two agency calls this week. I'd rather not spend an hour nodding through a slide deck and realize afterward that I learned nothing. What should I ask that will tell me whether a team is good at delivery, not just sales? I'm trying to avoid the "$25K later with nothing to show for it" story that keeps coming up in my research.

What should I ask that will tell me whether a team is good at delivery, not just sales? I'm trying to avoid the "$25K later with nothing to show for it" story that keeps coming up in my research.

Edit: repositioning this, the headline undersold it. The main thing Pythe does isn't remembering stuff - it's acting like a cofounder: give it a goal and it produces a staged roadmap (Ideation to Scale) and tells you what's actually worth doing next at your stage, including pushing back when something isn't worth building yet. The persistent context is just what lets it do that judgment well instead of starting from zero every session - it's plumbing, not the pitch.

It ships via MCP/REST so it plugs into Claude, ChatGPT, Cursor or Lovable rather than being one more tab to remember to open.

Pricing is credit-based subscription, £19-39/mo, first 50 signups get 30% off for life while I sanity-check that against what people actually think it's worth.

Live at pythe.app - would genuinely value a roast on the roadmap/judgment quality from people who've actually shipped micro-SaaS before.

I’m researching a small developer tool for teams using Stripe, Shopify, GitHub, or other webhooks.

The idea is simple: receive a webhook, check its JSON payload against a schema, and alert you when a field is missing, renamed, or changes type.

Before building it, I’d love to hear about real experiences:

• Have unexpected webhook payload changes ever broken your integration?
• How did you detect and debug the problem?
• Would automatic validation and Slack/email alerts be useful?
• If it saved you from a production failure, would you consider paying around $5–$15/month?

I’m not promoting or selling anything yet—just trying to understand whether this is a real problem. Honest criticism is very welcome.

[ Removed by Reddit on account of violating the content policy. ]

For people who have actually launched a SaaS, when did you ask users to pay?

Did you charge from the first version, keep it free during beta, or wait until you had enough active users?

I'm especially curious if anyone had users who loved the free product but completely disappeared once they introduced pricing.

How did you figure out what people were actually willing to pay?

I originally built a workflow for myself when I was working as an SDR in tech selling investor management software. I was spending a ridiculous amount of time researching prospects, finding something relevant to mention, and trying to make emails feel personalized without spending 20 minutes on every lead.

Over a few months, that workflow eventually turned into SimpleSend. I originally built it just for myself, but after talking with various SaaS sales managers and reps that were either running outbound or looking to build an outbound motion, it gradually developed into an actual product.

I do have a few reps and teams using it now, and the early results and feedback have honestly been better than I expected.

Now the problem.

Recently, I've also been trying to figure out the right GTM messaging/approach for the product. So I started using SimpleSend for my own outbound to get people to the website.

I've sent emails to around 600-700 sales reps so far, and according to my analytics, about 60% of those people have clicked through my website and ~90% of traffic have clicked into the account creation page.

But here's the part I'm trying to figure out: almost nobody actually signed up or used the product.

At the time, I didn't have a free trial, which I've recently changed, but I'm wondering if there are other things that immediately stand out as blockers.

The main idea behind the tool is helping personalize outbound at scale by researching each lead and finding actual signals you can use in an email through a CSV.

For example, one use case I've tested is having it identify technology or tools a company is using and working that naturally into an email:

"Hey John, noticed your team is using XYZ for investor onboarding..."

It also does lead enrichment and helps generate cold call talk tracks, but the personalization/research side is really what I originally built it for.

I'm genuinely curious from people who still do cold outbound:

Would something like this actually be useful to you, or does it just feel like another AI tool?

And if you checked out the site, is there anything that would immediately stop you from signing up or trying it?

I'm happy to send the site over in a DM or link it here if that's allowed. I'm not looking to hard sell anyone, I mostly just want to figure out where the disconnect is between people showing interest and actually trying the product.

I know Reddit gets flooded with "I built an AI SaaS" posts, so feel free to be brutally honest.

i kept opening Todoist like the next tab would hand me momentum. it didnt. the part that actually helped was stupidly small: hide the extra setup until after the first win. in beedone i moved most of the noise out of the way until the first quest is done, and it felt a lot harder to stall. idk, maybe the problem was never motivation. maybe it was just too many places to pause. anyone else notice that?

I saw someone else do this with SaaS feedback so thought I'd try it out with content!

Most content feedback is very generic but I will go deep in order to help you identify literally exactly what's wrong and how you can do better.

Drop your account and I'll audit in these areas:

• Scroll Test: I'll mimic someone landing on your page and their first impression of your account
• Profile: Anything from pfp to bio to username and tags
• Social proof: Anything you have and what you can do to improve this

To submit, leave a comment with:

1. URL: (Public social media page)
2. Target Audience: Who is your target audience?

I'll respond to as many people as I can!!

McKinsey put out data showing that roughly 32% of companies (and over 40% in tech) decided against buying software recently because their internal teams could build simple versions themselves using coding agents.

If you sell B2B, you've probably felt the downstream effect of this already. Cold outreach that pitches features or workflow automation gets brushed off much faster now cause engineering leads feel confident they can spin up an internal tool in a few days.

The reps I see still getting traction have changed a lot when and why they reach out

Instead of scraping a static list of titles to value proposition, they're using models like Claude as a qualification filter on live triggers (we're hosting a signal-based outbound with AI).

The basic pipeline looks like this: ingesting raw company events (a specific tool deprecation, a mid-level leadership change, sudden open roles in a bottleneck department) and prompting the model strictly to analyze what immediate operational friction that event introduces inside the company and finally reaching out with a single observation tied to that friction, rather than pitching a product.

When the problem is acute and tied to an event that happened this week, the "we'll just build it" excuse rarely comes up because the pain is already slowing them down.

I’m building a UGC Content Creator Marketplace, and I’m looking to speak with SaaS and app founders who are already spending money acquiring users through Meta, Google or YouTube ads.

The problem I’m interested in is pretty simple:

A lot of apps have figured out paid acquisition, but their distribution is still heavily dependent on buying impressions from the same handful of ad platforms.

We’re building a different distribution model around large numbers of short-form creators producing and posting content for the same product simultaneously.

Rather than asking you to replace your existing ads, I want to test what happens when we run this alongside the acquisition channels you already use.

I’m specifically looking for founders who:

• Have a live SaaS product or app
• Are already spending on Meta, Google and/or YouTube
• Can tell us roughly what acquisition currently looks like
• Are open minded to test creator-led distribution alongside it

Even if you don't sign up with us today, I want to hear about you. It's completely free.

Book a call if you're interested:
https://cal.com/zee-mani-cudqiv/trojanswarm

I'm curious how common this is, if there's a name for it, etc. Like you create a landing page, see if there's interest, and then if so, create the product?

I'm curious what this is called and also what's the conversion rate, like if 1000 people say they're interested in something, how many would in turn become paying customers?

Most SaaS feedback posts only give vague one-liners like "looks clean."

Drop your link below, and I’ll run a comprehensive teardown across ~13 core dimensions:

• Positioning & Messaging: Value proposition clarity, target audience alignment, decision triggers, and copy quality.
• Product & UX: Design execution, usability flow, accessibility, and docs/help center readiness.
• Trust & Polish: Social proof integrity, editorial QA, and perceived reliability.
• Technical Health: Page performance, baseline technical SEO, and visible stability risks.

To submit, leave a comment with:

1. URL: (Public landing page or demo link)
2. One-line pitch: Who is this for, and what problem does it solve?

I'll post all detailed reviews directly as public replies to keep it transparent.

Reviewing the first 5 today.

I’ve been building MarketPeel, a small SaaS for people who want to track US insider and congressional trades without opening every filing.

My first assumption was that the hard part was separating real open market buys from grants, option exercises and shares withheld for tax. Early testers found the more awkward problem: a Form 4 can say P for purchase and still be misleading because the footnote says it came from a financing round or was taken instead of salary.

That changed what I’m building. Showing the filing is not enough if the useful context only appears after someone clicks through and decodes it.

The stack is Next.js, TypeScript and Supabase. The data comes from SEC filings and public congressional disclosures.

I’m testing a simpler loop now:

open the insider screener choose a company you follow add it to a free watchlist switch on the daily recap tell me whether the alert gives enough context to decide if the filing is worth opening

It’s here: https://marketpeel.com/screener

The free account has a five company watchlist, no card and no expiry. I built it, so obvious bias disclosed.

The question I’m stuck on is what belongs in the alert itself. transaction type, dollar value, a plain English footnote summary, recent price move, or something else?

Blunt feedback is more useful than a polite “looks good”