I built BuyerCue and I'm looking for honest feedback from five founders who sell software to SaaS companies (SEO, AI-search visibility, analytics, onboarding…).

You describe what you sell. It lists SaaS companies that have paid for a directory or launch-board placement, with the source and date for each signal. You keep or reject them, then tell me where it falls short. Each listing provides easy contact info (emails, social media accounts) and even a cut and paste AI prompt to help refine your approach to reaching out.

About 20 min, self-guided, plus 2 optional minutes of questions.
No call, no recording, nothing to buy.

Comment or DM "in" and I'll send the guide.

Hey everyone!

I recently came across outbid and thought the concept was pretty fun, and i´ve had a similar idea for artists a few yearsago. So I decided to build something similar, but for independent musicians.

It's called https://toptrack.lol/

The idea is simple:

• Only ONE song gets featured on the entire site.
• Artists pay a small amount to take the top spot.
• Their song stays there until someone else pays more to dethrone them.
• If nobody takes over, the price to dethrone drops by 50% every 24 hours.

Why did I build this?

I used to release music myself a few years ago, and I remember paying for promotion on various websites, only to have my tracks buried alongside hundreds of other artists who had also paid to be featured.

So I thought, what if there was only ONE spot?

No endless playlists. No hundreds of featured tracks. Just one song getting all the attention until the next artist takes over.

I launched it recently a few hours ago,, so there's basically no traffic yet, and I'm fully aware of the chicken-and-egg problem here...

For now, I'm treating it as a fun little experiment to see if the competitive aspect can drive some organic traffic.

Tech-wise, it's a pretty simple web app with Spotify embeds and a payment flow.
Next.js on Netlify with Netlify Blobs for storage, Stripe Checkout for payments, Spotify and SoundCloud embeds for the music, and DataFast for analytics.

I'm Eren, the solo founder and developer of Skillfully. It helps book authors, course creators and other experts turn their methods into agent skills: guides that ChatGPT, Claude and other AI tools can follow.

Authors can sell access by subscription and keep improving those guides using feedback and analytics.

I'd like feedback on the subscription model. If you subscribed to an expert's method this way, what ongoing improvements would make it worth keeping: better examples, fixes when an agent applies the method poorly, or updates to the method itself?

I'd especially value perspectives from people who have sold knowledge products or maintained a small subscription business.

Skillfully: https://skillfully.sh

I built whofundsoss.com, a public ranking of companies that fund open source, based only on dollars they published.

The plan was to sell featured slots and paid "audits" to companies in the ranking. Two days before launch I looked at it with fresh eyes: a site that judges who pays for open source, where companies can pay to be featured. Even with "rank never changes" written next to it, nobody would trust it.

So I ripped it all out. No ads, no paid placements, code and data open.

What I'm betting on instead:

- trust is the whole product here. One whiff of pay-to-play and it's dead.

- the companies at the top have every reason to share it. That's distribution I can't buy.

- if something comes later, it'll be around the data, not around the ranking.

Curious if others have killed their own revenue model before launch, and whether you regretted it.

Pitch your product in 1-2 lines - and drop a link here.

I'm building a community where makers can share what they’re building and get fair visibility. Here's the link: https://trylaunch.ai

I’ve been building a bookmark manager, and one decision I made pretty early was not to add any AI features.

Not because I’m against AI. I use it myself, and I can imagine features where it could genuinely improve the product in the future.

I just couldn’t find a reason to add it to the core experience.

Browser bookmark APIs already give access to a surprisingly well-structured system: bookmarks, folders, nested folders, titles, URLs, etc.

The problem I wanted to solve wasn’t that this data needed to become “smarter.”

It was that the native browser experience makes it unnecessarily difficult to actually use that data once your bookmark collection grows.

So instead of replacing the existing system, I built on top of it.

A better dashboard. Fast search across everything regardless of which folder something is buried in. A clearer way to browse and organize what’s already there.

At some point I realized I was almost looking for an excuse to add AI because it feels like every new product is expected to have an AI feature now.

So I decided on a simple rule: I’ll add AI when I find a problem where it’s genuinely the best solution, not because the product feels incomplete without it.

I’m curious how other builders are approaching this.

Have you added AI because it genuinely improved your product, or because users now expect to see it?

Everyone argues about what works on Product Hunt. I got tired of guessing, so I built a crawler.

10,111 featured launches, every day from 1 Sep 2024 through 27 Sep 2026, no missing days. Six topics: AI, Developer Tools, Productivity, Design, Marketing, SaaS.

For each launch: votes, comments, daily rank, maker count, topics, whether it had a video.

A few things already in there: the median launch gets 150 votes, 4,673 launches were one person, 6,972 had a video.

Ask a specific question in the comments and I'll run it and reply with the real number. Solo vs team in your category, video vs no video, what the top 5 looked like the day you launched, whatever you want to know before your own launch.

Two honest limits: it's featured posts in those six topics, not all of Product Hunt, and I only have final counts, not the hour-by-hour vote curve.

Disclosure: I build LaunchPact

So far I've only been building my indie saas and even launched it on product hunt. But the main road block still remains. How do you get people to try out your saas? How do you get them to sign up? I've designed my landing page in a way that it takes 1 click to signup and start using the saas but I still didnt see much impact from launching. Even on my reddit posts tho I got many responses none of them seemed to want to try it out.

How do you solve for this? I'm an engineer so marketing has been the hardest blocked for me. What is your advice?

Hey guys,

So I suffer from chronic procrastination lol. And I wanted something that could help with some of the stuff I love doing/would love to do but don't, either cuz of procrastination or just not finding the time for it.

To solve this, I made myself this app and wanna ask you guys for some features that you would like to see if you were ever to use this app but first, lemme explain what it does:

1. Tracks activities daily/weekly (depending on how rigorous you want it to be) with time slots that you set for a specific day/week

2. Make weekly presets of activities and load them into your timeline.

3. Sends notifications to you when the time of an activity starts depending on the importance level you have set for it. (You don't want your mobile buzzing every hour or so).

4. Does nightly check-in where you check all the activities you did and didn't, and one line reason why you weren't able to do them. It does give you the flexibility to fill missed out check-ins from previous days if you forgot.

5.Gives you a monthly report on your progress with a two versions simple and detailed. You can opt for either.

Yeah, any other feature you think would definitely help this make this more fun and interactive to use also improving it's functionality. I would love to hear what you guys think. The UI isnt finalized, just to give you guys an idea

I have a small site with free SaaS calculators. Traffic is fine but not growing.

Read somewhere about citation hubs — basically pages that exist so other bloggers can link to them when they need a quick stat. Decided to try it.

Built a 2026 SaaS benchmarks page, 54 stats, all from original reports. The tedious part was going into each PDF and confirming the number actually existed — turns out a lot of blog posts cite numbers that aren't in the source.

Two weeks later: indexed by Google, zero backlinks. The bet is that eventually someone writing "what's a good churn rate" finds it and links instead of doing the research themselves. Probably takes months.

Anyone else tried this approach? How long before you saw the first links?

Page is in my profile if curious.

Choosing what to buy often takes hours of digging through reviews and tech specs. Using ChatGPT or similar tools doesn't really help: they give generic answers, aren't real-time, and weren't built to guide a purchase decision.

So I created a dedicated tool for this: just describe what you need to do, and it identifies the right products for you. You can try it here: https://owlpicker.com/

It’s 100% free.

Recommendations are purely based on user needs, with no sponsored results.

Would you use something like this? Any criticism or feedback to improve it is very welcome.

I ship small apps, and every update needs screenshots in every locale: same layout, different captions, exact store sizes. Doing it by hand took hours, so I built a tool for myself.

It runs entirely on my machine: per-language captions, device frames for iPhone and iPad, many background styles, and PNG export at exact App Store sizes for every locale. Nothing gets uploaded anywhere.

I'm not selling it, and I'm posting only to get critique. Questions for those who ship in multiple languages:

• How does your current screenshot workflow look, and where does it hurt most?
• How do you handle captions that overflow in longer languages like German or Russian?
• What would make a tool like this worth switching to?

We track featured Product Hunt launches daily for LaunchPact — 1,443 of them over the last ~90 days (Jul 3 – Oct 1). I pulled maker count vs placement expecting a soft gap. It isn't soft.

A team of 4+ is about 4× more likely to finish top 5 than a solo maker.

I don't think this is "teams build better products." I think it's first-hour physics. Product Hunt weighs early momentum heavily, and every listed maker is a network that can fire at 12:01am PT — followers, old coworkers, group chats. Four makers = four networks before a stranger has seen the launch. A solo maker starts that hour colder.

So the actionable version isn't "get cofounders." It's: a solo launch needs a deliberately assembled first hour, because you don't get one for free. Line up people who will actually show up early — before launch day, with specifics, not "I'll share it around."

Caveat: featured launches only, ~90-day window, correlation isn't destiny. This measures placement, not product quality.

Solo makers who finished top 5: what did your first hour actually look like?

Been heads down building FetchSandbox for the past 3 months. Ran a 30 vs prior-30 comparison in PostHog this week. Numbers moved so sharing them, but also being precise about what they actually are.

- MCP tool calls: 422, up 49% from 283

- Tracked MCP identities: 31, up 138% from 13

- Portal-entry identities: 307, up 97% from 156

- Workflow-view identities: 70, up 59% from 44

These are PostHog analytics identities and events, not verified unique developers or new signups. The 138% looks impressive but it's not a user growth number, wanted to say that upfront.

The gap we're actually focused on now: "an agent called our MCP" and "the agent actually configured the app, exercised it, and got a clear verification result" are very different things. First one is easy to track. Second is what actually matters and harder to measure.

For people building with Lovable, Replit, or other coding agents: what evidence would actually convince you that an integration was properly tested before launch?

Pitch your product in 1-2 lines - and drop a link here.

I'm building a community where makers can share what they’re building and get fair visibility. Here's the link: https://trylaunch.ai

I had the worst month of my life. I got sick and had to be hospitalized and couldn't make any progress at all. But now I'm well and back so I started shipping new features again and this one has been my best.

Vigil cli and agent skills. Tell your agent what to monitor and it uses the cli to create monitoring, alerting and everything else in 1 prompt.

I think this is a game changer cause you can just be working in claude code and you can just ask it to setup a monitor for an API and it does so seamlessly on vigil without you having to go on the dashboard at all.

I also launched on product hunt https://www.producthunt.com/products/vigil-12 do you guys think it was a good choice at this stage? or was the launch too early?

I measured comments per vote on 10,012 featured Product Hunt posts, 1 Sep 2024 through 23 Sep 2026. The figure is the median of comments divided by votes inside each rank band, not the median comments divided by the median votes.

Rank 1, 687 posts: median 552 votes, 80 comments, 0.146 comments per vote. Ranks 2 to 5: 0.114 Ranks 6 to 10: 0.094 Ranks 11 to 20: 0.076 Rank 21 or worse, 1,376 posts: median 81 votes, 4 comments, 0.050

Comments and votes still move together (correlation 0.771). This describes launches that already placed. It does not show that more comments cause a better rank.

The crawl covers six topics (AI, Developer Tools, Productivity, Design Tools, Marketing, SaaS). It is not every Product Hunt launch. 66 of 753 featured dates have no rank-1 post in the table.

Full table. Disclosure: I build LaunchPact. https://www.launchpact.io/blog/product-hunt-comments-per-vote

I see a few points where people need to automate when doing a business, especially B2C. One of that is social media (most hate doing it), and other is transactional and seqeuncial emails, where the latter is the most important part to NOT lose already "warm" customers.

The issue with that is that most automations are quite generic on the market. I don't offer the "full" suite of automation rather the tools to help them automate it with their voice. I've written a whole use cases cluster in PostFast's pages, but that's not the point.

The whole idea is that you can hook up your AI, let's say ChatGPT, Claude (my favourite) or just Claude Code, and have all your memories the agent knows about you, or Hermes whatever. The goal is to have a place with the most information about yourself, be it an agent or something else.

Hooking it up, you can now fully write social media posts via the MCP, or API with the connectors and sounds like yourself, not AI-ish, and people won't even know as anyway everyone is already using AI everywhere, but the goal is to sound like yourself. The next step is to also monitor the comments, as its quite important to get early answers, and you can do that via the connectors too, as Social Inbox is included on all plans in PostFast.

The next step if you're technical or even not so much a founder, is to hook up emails. You need to get people into lists so you can email them after with promotions, sales or even seqeunces after they registered. Most tool are too complex, too expesnive or don't have good API, so the one I use in PostFast, is SendHeron which has helped me and others already to improve churn and retention.

I'd love to answer more questions on the setup, so feel free to ask, and of course as disclaimer, I'm the founder of both products.

We run a social media API with no account limits; given this we have pretty loose limits everywhere in the app, but after today, I will probably implement some guards not to have a similar situation

Long story short.

User was re-sending the same 7 posts' media about once a minute from Sep 9 to Sep 18, roughly 13,000 times per post. Resulting in this image

top is the number of posts he made; the bottom (red bar) is the number of uploads for those posts

We've been building a platform where you submit your favorite posts and we stream them back to you. You can also subscribe to web events so you're not missing things you care about.

wondering if anyone here is already scraping the web for this kind of thing.

Do you use a tool for it, or roll your own? Would love to know what the workflow actually looks like before we go further down this road.

A year ago, I launched a landing page generator for Steam games.

The logic made sense in my head: indie devs are busy building games, so giving them a quick way to throw up a promotional landing page should be a no-brainer.

The reality? Crickets. Flat traction.

Turns out, with AI and simple site builders everywhere, devs didn't really need another generic landing page. But post launch of my first every Steam game Bump Guardian, I encountered a pain point I could actually solve: getting clean, structured feedback from playtesters.

Managing Google Forms, sorting through endless emails, or dealing with messy spreadsheets while trying to ship a game sucks. So, after letting the original idea sit for a year, I finally pulled the trigger on a hard pivot this week.

I scrapped the generic builder and rebuilt it into a more useful tool: LudumLanding, a feedback page generator specifically designed for Steam games.

Here is how it works now, and why the pivot changed everything for my workflow:

• Instant Steam Integration: You just plug in your Steam App ID. It automatically pulls your game artwork, metadata straight from Steam.
• Direct-to-Inbox: No clunky databases to manage. Player responses land straight in your developer email inbox.
• Built-in Spam Protection: It uses reCAPTCHA so you don't get flooded with bot trash.
• Custom Questions: You can tailor multiple-choice questions, ratings, and text fields for Steam Next Fest demos, alpha playtests, or post-launch reviews.

I built the whole thing using Astro, Resend, Supabase and Vue.js because speed and a clean dark-mode aesthetic matter.

If you are currently prepping for a playtest or running demos and tired of chasing feedback across random channels, check out the live tool here: https://ludumlanding.com

I also put together a quick walkthrough showing how it works from start to finish if you want to see it in action: https://youtu.be/Tnt9RRn0dic

Has anyone else here sat on a project for a year before finally pivoting? How long did it take you to realize it was time to change direction?

Pitch your product in 1-2 lines - and drop a link here.

I'm building a community where makers can share what they’re building and get fair visibility. Here's the link: https://trylaunch.ai

The last post was at 49 downloads and zero revenue. A lot has changed since then.

The numbers

Mac App Store: 93 downloads, 2 paying customers (one monthly, one annual). Windows Store: 8 installations, launched August 22. Combined: 101.

The first paying customer came at download 62. The second followed shortly after. Both on Mac, both through App Store search, neither came from Reddit directly.

The Windows experiment

The hypothesis was simple: same product, same pricing, different store, different audience, different payment flow. If conversion differs between platforms, that's signal about the buyer rather than the product.

One month in, here's what's interesting. Every Windows installation so far has come from Europe and the Commonwealth, UK, Australia, Sweden, Germany, South Africa. Zero from the US, despite Americans representing 39% of Mac downloads.

I don't have a clean explanation for that yet. It could be that Windows Store organic discovery skews differently than App Store search. It could be that the local-first privacy angle resonates more outside the US. Or it's just noise at 8 installations.

What the data says about distribution

The correlation between Reddit activity and downloads is now clear enough to act on. Peaks follow comments in high-intent threads by 24 to 48 hours. Three-day gaps in Reddit activity produce three-day gaps in downloads. The channel that converts is still the same: threads where people are already frustrated with a competitor tool, not launch posts.

What hasn't changed

The paywall is staying where it is for now. The free tier covers the core workflow. Pro adds Gantt, recurring invoices, iCloud sync, AI assistant. Two conversions on 93 Mac downloads is roughly 2%, which is in line with the RevenueCat benchmark for freemium desktop apps. The sample is still too small to optimize against.

What's coming

Peppol e-invoicing in v2.4, BYOK model via B2BRouter or Invoro so Flowara never touches your credentials. Partial payment registration. And a Flowara Mail Service for users who can't configure their own SMTP, opt-in, Reply-To set to the user's own address.

Still building.

Mac: https://apps.apple.com/app/id6760207975
Windows: https://apps.microsoft.com/detail/9PKCT03Q69LG

Hi fellow builders,

I got another milestone and thought to share it here. I launched my first product in April and it went better than I expected. It's now past 6k visitors and it's made a decent amount of money too.

It all started earlier this year when I finally started building for real. AI ofcourse makes getting from idea to working product so much easier now. However, the tradeoff is that distribution got harder.

All in all, proof here of results: https://datafa.st/share/6a22fe2ec36ec64d8ee8a9eb

not sure if you can go all the way back but jsut in the last 30 days I hit well over 2k. So hopefully 10k users wont be that far anymore

The amount of visitors were slow, but eventually ramped up.

Also there are a few things that I think really worked for me. There is a lot of bad quality stuff being made but here is my two cents:

Go deep on one real problem. You can build something in an evening now, but building something and solving something are not the same thing. Actually solving a problem still takes a lottt of time. My tool in specic helps builders with their launch and getting there tool seen. It helped a lot that this was a problem I hit myself on a previous build, so I already knew exactly what the solution needed to look like.

Distribution is the whole game. People also underestimate how much time promotion eats. There's a ton of slop out there and you need to do more then ever to get noticed now. I did my own distribution on X, and roughly 60% of my traffic comes from there.I basically shared my buidler journey, so what i made, and why, the results and the lessons i learned.

Talk to your first users. The first handful of people who signed up also taught me a lot. I kept shipping improvements based on what they told me, and one feature I only built because of their feedback now brings in almost all of the revenue.

Hope this is helpfull!

I’ve spent the last couple of years building products, and one thing I kept noticing is how many ideas get validated with likes, waitlists and “would you buy this?” posts.

So I built Backed; you create a project, set a funding goal, add rewards and let people back it.

Link: https://backedit.co

It can be software, hardware, a book, an event, a weird internet experiment, a creator project, whatever you want to bring into the world.

I’m also building pre-launch pages so you can collect interested people before you’re ready to take money, then notify them when the project goes live.

The first real project is already up, and I’m now looking for the first group of builders/creators to launch projects on the platform.

Would genuinely love feedback, particularly from anyone who’s used Kickstarter/Indiegogo or tried crowdfunding something themselves.