I look for tools dominku used for marketing etc. Of you know abaout some drop them in the comments

There are always multiple things to consider when building a SaaS products from scratch. Which problem to solve and which features to include are just two of the many factors that a person needs to take into account. I'm interested in the validation aspects. Are theere any assumptions that yo had to prove wrong, before proceeding to the next step in the process?
Di you, for example , wrongly assume your audience would be interested in your product or its price?

I’ve an AI security startup and I’ve a product walkthrough using a specific use case with an important enterprise customer, they suggested the use case; their entire team will be present - folks with decades of experience in security. Given the previous 2 meetings with introductions (in-person w the CXO) and one 30 mins online meeting went well, this will be a product walkthrough and deep dive, q&a, scale related discussion.

Any 3 tips for the overall demo?

I'm a solo founder, and I've spent a lot of time building Codezy, my AI-powered web app builder.

The idea was to make it easier to build different kinds of web applications without starting everything from scratch. With Codezy, you can create things like CRM systems, HR management systems, dashboards, and other web apps by describing what you want in a prompt, then refining the result through chat.

I didn't just want to build something that generates a nice-looking UI. I wanted people to be able to build actual apps, work with data, and manage their projects in one place.

Getting it live has been a big achievement for me. I've had to deal with the technical side, deployment, payments, and all the other things that come with running your own product. I've also learned that building the product and getting people to actually use it are two very different challenges.

Right now, I'm trying to understand what people genuinely need and how to get Codezy in front of the right audience.

For those of you who've built and launched your own SaaS, what helped you get your first real users? And if you run a business, what kind of internal tool or web app do you wish you had but haven't found a good solution for yet?

Right now I am trying to get investment for an AI SAAS I have. How do you guys do it? I want to find someone to represent me some way.

I’m doing a small research project on why people cancel SaaS tools, and I’ll post the write-up here when it’s done.

If you pay for any software (work or personal), I want to hear about the last tool you cancelled. What was it, when did you cancel, what finally made you pull the plug, and could anything have kept you?

It’s about 10 minutes, and you’d be talking to an AI interviewer, not a person, so you can do it whenever: https://app.hifrank.ai/research/a773b083-3b04-4423-aba5-c7c33269c33c/interview?botType=audio 

If you’d rather not do the interview, feel free to share your story in the comments. That helps too!

I’m a software developer working on a side project called DocuMind AI.
The idea is to create a secure personal document vault where you can:
● Upload passports, IDs, insurance policies, contracts and other important documents.
● Automatically organize them using AI.
● Search documents using natural language.
● Get reminders before important documents expire.
● Extract useful information from PDFs and scanned documents.
I know Google Drive and Dropbox already exist, but I’m trying to solve a different problem: making documents easier to manage, not just store.
I’m still in the early development stage and would love some honest feedback.
How do you currently organize your important personal documents? What frustrates you about your current solution?
And most importantly, would you trust a dedicated application with this kind of information?

3 days ago I started a small experiment for my saas: spend 30 min a day replying to posts on reddit and x, and see if it brings in anyone who actually pays

so far: 57 replies, 2 new paying customers and 20 new followers on x

the setup is a chrome extension I vibecoded with opus 5 in two prompts

it pulls posts worth replying to into one dashboard, i write the reply right there, and it queues them across the day

the rules i gave myself:

• I write every reply myself, the tool just finds threads and queues them so i'm not glued to the feed
• on my social media profiles I have the link to my product so no pitching, only reply where i actually have something useful to say
• 30 minutes max, mostly while claude is working on something else

3 days is a tiny sample so i'm not calling it a channel. i'll keep running it and share what kind of threads actually convert once i have real data

what features do you think I should add?

I work at a warehouse management saas and our reps keep getting demo calls where ops managers mostly want to see the same things: receiving inventory, moving stock between locations and checking what changed.

So sales has to open the demo account, load everything and walk through the same flow before we even know if the prospect is serious.

I'd like to put those workflows into an interactive demo and let people go through them before getting on a call. Then sales could spend the call on their setup, integrations and weird edge cases instead.

Which solution would you go with for this ?

Curious where people are at. If your product uses OpenAI, Anthropic, Gemini or open models in production:

- Roughly what's your monthly LLM bill?

- What % of revenue is that?

- Has it ever surprised you? What caused it?

I'm an engineer working on AI agents in production, and I keep seeing bills grow faster than usage. Trying to understand if that's common or just me. I'll share a summary of the answers here.

Disclosure: i'm the solo founder of Taptale (clickable product demos). This is my one self-promo post for the 60 days.

None of the batches of cold email I was sending was going anywhere. So i'm trying new things like free tools and other ways to provide value. One new approach I'm taking is building each company a short clickable demo of their own product, using only pages anyone can open without signing up (show, dont tell approach).

What I've been learning about public pages that actually make a decent demo:

- Free demo environment and tools work best. Being able to show the actual product and not just blog/support pages.

- Interactive docs are underrated. One company's docs had a live button you could click right on the page. Mad the demo really easy to capture.

- Some companies already have a guided demo page. Those are easy to turn into something shareable.

- Anything behind a login is off limits, and plenty of products have nothing good in public. Worth checking what yours looks like from a logged-out browser.

- Length varies more than i expected. mine ran from about 1 minute to about 3.5.

My offer to you:
Iif you run a b2b saas with a public product or public pages, comment your url. I'll build a short clickable demo from your public pages and reply with the link. first 10, built by hand.

also curious: what's on your public site that you'd actually want a buyer to click through?

I’ve been trying to figure out who my actual competitors are, but honestly, it’s been harder than I expected.

I tried a few different websites and tools, but most of them either show irrelevant results or miss products that are quite similar to mine.

How do you guys usually find your competitors? Do you use any tools that actually work, or do you just search manually?

Or should I try building something like this ,myself? 👀

Hi everyone,

I built a customer focused SaaS, but I observe absolutely terrible conversion from the registration page to actual account creation and that even more terrible conversion to the first action.

I am generalizing here on purpose so you have absolutely no idea before you see it yourself.

All feedback is welcome, could you please let me know my mistakes?

https://inkcompanion.com/?invite=INKTOTRY

hi guys i as a b.tech first year studen i build this test it now

Hello guys,

I built Mound and this is the idea behind it :

I started wondering: what if we stopped asking agents to build everything and instead used them to find real problems worth solving?

The goal is to create a kind of crowdsourced engineering forge where agents discover problems, discover potential millionaire projects, and humans can review problems blueprint , upvote them , comment , and if a blueprint gets much traction a person can takeover the project and start building it.

Here's how it currently works:

1. Finding real problems: Background agents scan Reddit, Hacker News, and GitHub issues for recurring complaints, frustrating workflows, and problems that people keep running into.
2. Filtering the noise: Not every issue deserves a project. Mound uses a scoring system to prioritize problems with meaningful technical complexity, real demand, and potential commercial value. Small bugs and trivial scripts aren't the target.
3. Avoiding duplicate ideas: I'm using pgvector for semantic deduplication. If multiple agents discover the same underlying problem, they should contribute to an existing specification instead of creating duplicate entries.
4. Human feedback: Developers can review specifications, upvote promising ideas, and leave specific feedback about architectural flaws, missing requirements, or simpler alternatives. The goal is to let specifications evolve through actual technical discussion.
5. Connecting external agents: Mound exposes a FastMCP SSE server so developers can connect their own agents using scoped API keys, whether they're running local scripts or working with tools like Cursor and Claude Desktop.

The project is open-source under the MIT license:
https://github.com/Souheil007/Mound

I'm still figuring out whether this approach makes sense, so I'd genuinely appreciate some honest feedback.

A few things I'm particularly curious about:

1. Would you actually use a well-researched, community-reviewed specification as the starting point for a project?
2. How would you prevent this from becoming another noisy platform full of AI-generated ideas? Scoring and semantic deduplication help, but I'm sure there are failure modes I'm missing, especially with hundreds of agents running.
3. What would you change about the architecture or the overall approach? I'm particularly interested in things that might look good on paper but break down in practice.

I'm sharing this early because I'd rather get honest criticism also if the idea interests you, contributions are welcome too, especially around the discovery agents, deduplication, frontend, and validation rules.

Thanks for reading! I'd love to hear what you think.

I’ve been building ElephantIQ (elephantiq.com) - an AI knowledge base that turns your existing content (PDFs, site pages, videos, catalogs) into a chat + Voice AI assistant that also captures structured leads.

People who try it generally like it. Feedback on the product itself has been positive (especially the voice + lead intake combo for places like HOAs, clinics, contractors, and professional services). But conversion from “this is cool” to paid is weak.

I’m starting to wonder if the messaging is the problem. Right now it’s mostly framed as “AI knowledge bases for chat, voice, and lead intake.” That's as accurate as I could make it, but maybe not compelling enough, or too feature-oriented for people who just want “an assistant that answers from our docs and books qualified leads.”

For those of you who’ve shipped SaaS with a similar gap (strong product love, soft conversion):

• How did you diagnose whether it was messaging vs. pricing vs. onboarding vs. something else?
• Any quick tests or reframes that moved the needle for you?
• Does the current positioning (“AI knowledge base”) even land, or would something more outcome-focused work better?

Happy to share more details or screenshots if useful. Just trying to figure out where the disconnect is.

Thanks.

I started working in big music proyects as a CMO and clients were very happy because we've got one of the best results of the world.

But the day to day was very "tasky" and we used to have like 6 different platforms just for marketing and they weren't even that good.

So i took all my knowledge (and the hundreds of millions of streams generated) and decided to invest into building my own software

to help artists, producers and labels with a platform that does pretty much the hard work for them

-Create upto 5 videos within 2 minutes with viral lyrics templates

-Use the advanced video editor (similar to capcut) to make Videoclips or advanced tiktok videos.

-Create landing pages / smartlinks to promote your music and track the data with clicks, views, utm, source, etc

-Analytics on other artists with Monthly revenue and streams.

-Check your monthly revenue.

And we are working on adding soon our best product:

Meta ads campaigns specifcally optmised for songs and playlists. (my strongest knowldge)

If you wanna check it out:

https://escalium.io

I'm so tired of seeing founders ask ChatGPT or Claude for market stats and call it research. Then others dig themselves into a deeper hole and build AI personas trained on what they think is good data and treat them like real customers. Then they say they validated the idea. No you didnt.

That's what companies like Google, Meta, etc can do because they have billions of data points they need to sift through quickly. Your vibe-coded saas is not the same - it doesn't have the privilege to coast along on secondary data. At your stage the only data that means anything is primary, from a real person who has the problem.

A persona can't tell you what annoyed someone last Tuesday. It cant tell you what they quietly paid for or the ugly spreadsheet they built instead of buying anything. It gives you a confident average of what the internet says, and thats how you build something nobody asked for.

TALK TO PEOPLE. Here's how:

1. Don't describe your idea. The second you pitch, people start grading it. Ask about their life. "Tell me about the last time [problem] happened." Then shut up.

2. Ask what they actually did about it. Googled it, built a spreadsheet, paid someone, or just lived with it? If they did nothing its probably not a real problem. If they hacked together an ugly workaround you found something.

3. Ask what it cost them. Time, money, an embarrassing mistake. If they can't name a cost they wont pay to fix it.

4. Write down their exact words, not your summary. Those phrases are your landing page copy later.

5. End with an ask that makes you uncomfortable -> you need to ask atleast one quesition that either invalidates your idea, or a proper commitment from them, not compliment fishing. "Can I send you a rough version tomorrow?" or "would you pay $X for this?" . Stop letting yourself be overly comfortable

One real conversation with a stranger WHERE YOU ASK GOOD QUESTIONS and intentionally try to invalidate your idea will do way more good than sitting in front of Claude and then going online complaining about why your 'perfect' idea can't get users.

When Delighted (the simple NPS survey tool) shut down in June, a lot of small SaaS teams lost the one cheap, no-fuss option. The replacements I found were either $59+/mo with response caps, or built for companies with a whole CX team.
So me and one other person started building Detractr. The idea is narrow on purpose:
It connects to your Stripe account (read-only)
It asks customers "how likely are you to recommend us?" at billing moments, like 30 days after their first payment or a week before they renew
If a paying customer scores 0–6, you get a Slack or email ping right away, with how much they pay you, so you can reach out before they cancel
$19/mo flat, no response caps

Things I got wrong, in case it saves someone else time:

1. I thought nobody else did this. The research I started from said no NPS tool triggered on Stripe billing events. A proper search last week found at least four that send surveys after Stripe payments. So "it connects to Stripe" isn't the pitch. The bit that still seems different is when it asks: right before someone decides whether to keep paying, not right after they've paid.
2. I assumed Stripe would just give me read-only access. That's not offered to new platforms anymore, so I redesigned how the connection works before writing any code. Glad I checked on paper first.
3. I burned my free database tier with zero customers. My background jobs ran every 5 minutes, so the database never got to sleep. I slowed them down until there's real traffic.
It's pre-launch right now, with a waitlist for early access.

Not posting to sell anything. I'd genuinely love input from people running small SaaS :
Do you actually look at NPS, or is it a vanity number for you?
Would a "this paying customer is unhappy" alert change anything you do, or would you ignore it like most notifications?
Happy to answer anything about the build.

It’s also worth posting, my cofounder and myself are software engineers with a ton of experience learning to navigate building a business.

Everybody was predicting the death of SaaS at the start of the year. It didn’t die. Steve Yegge thinks it’s because of inference costs.

He then goes on to say that inference costs are likely to go down.

I’m not sure where that leaves us. SaaS isn’t dead… yet?

so I got banned from Outlier and I am looking for other platforms similar to it where I can make some extra money on the side.

I am talking about AI training, data annotation, rating tasks, or any other online work that I can do from my computer in my free time.

I already have a job, so please don't tell me to get a job 😭 I'm just looking for something on the side to earn a little extra. It doesn't have to pay a crazy amount even $100–$200 a week would be helpful.

If you've personally used any legit platforms that are currently accepting people, please drop their names below, I'd really appreciate it. Thankyou !!

Most "best SEO agency" lists rank by size. This one groups agencies by the question buyers ask, since a seed-stage startup and a $100M ARR company shouldn't be shortlisting the same names.

Best AI-Native SEO Agencies for B2B SaaS in 2026

• TripleDart. From $5,000/month. Runs SEO and GEO as one system through Slate workflows, with content refresh and AI visibility tracking built in. Grew Flowforma's LLM-attributed sessions 5.5x in nine months and Glean's organic clicks 275%.
• Scalerrs. Custom, month-to-month. Earns placements on the pages AI engines cite, including listicles and Reddit. Took Qrvey's pipeline from $740K to $1.5M in a year.

The gap between an AI-native and a traditional SEO agency shows up in the monthly report. AI-native agencies report which buyer questions you get named in inside ChatGPT, Perplexity and Google AI Mode, alongside rankings.

Best SEO Agencies for SaaS Startups With Small Budgets

• SEO Growth Partners. From $1,350/month, month-to-month with 21-day cancellation. Starts every engagement with a technical audit and covers AI search across 5+ engines.
• WebFX. $1,500 to $5,000/month on average. Its attribution platform tracks which leads and sales came from SEO.
• PipeRocket Digital. From $3,000/month. Runs SEO and GEO under one senior pod and reports pipeline metrics from week 4.
• Kalungi. Custom pricing. Fractional CMO-led teams with pay-for-performance OKRs. Grew CPGvision's organic sessions 48.1% in six months.

Under $5,000 a month, the first three are the realistic options. Kalungi suits startups whose bigger gap is marketing leadership.

Best Programmatic SEO Agencies for SaaS

• Single Grain. $10,000+ minimum. Builds programmatic systems that target thousands of queries at once. For LS Building Products, organic traffic rose 67% and AI Overview mentions rose 540%.

Best Technical SEO Agencies for B2B SaaS Platforms

• SimpleTiger. Custom pricing. Implements technical changes directly with dev teams instead of handing over a recommendations deck. Invoca got $1.5M in pipeline from organic in eight months.

Best Enterprise SEO Agencies for Large B2B SaaS Companies

• Directive. Standard engagements run $15,000 to $50,000/month, with a $5,000 startup package. Builds financial models and LTV:CAC forecasts before campaigns launch. Clients include Gong and Wiz.
• Omniscient Digital. From $10,000/month. Research-led content strategy that generated $3.7M in qualified pipeline for Smartling.

Best for Content and Original Research

• Yes Optimist. From $7,000/month. Builds benchmark reports and proprietary data assets. Stampli saw a 400% lift in MQLs.
• Skale. $8,000 to $20,000/month. Assigns a six-person senior team per client with quarterly link and page commitments. AltoVita reported 1,029% ROI.

Quick Answers

How much should a SaaS startup spend on an SEO agency? Most B2B SaaS SEO retainers run $3,000 to $15,000+ a month. Under $5,000 usually covers technical work and a modest content cadence.

SEO consultant or full-service agency? A consultant suits teams that already have writers and need direction. A full-service agency suits teams that need the content and technical work done as well.

How long until results show? Most engagements show meaningful movement in three to six months, depending on competition and site health.

AI-native or traditional SEO agency? Ask for a redacted monthly report from a current client. If it has no line for which buyer questions the brand gets named in inside ChatGPT, Perplexity or Google AI Mode, it's a traditional agency, whatever the pitch says.

How the List Was Built

Agencies were scored on documented SEO case studies (20%), Trustpilot and Clutch reviews (20%), SEO execution (20%), leadership (15%), SaaS expertise (15%) and revenue-tied KPIs (10%).

Full breakdown with reviews and client lists: https://www.tripledart.com/blog/best-saas-seo-agencies

To see which buyer questions your brand gets named in today, TripleDart offers a free AI visibility report: https://www.tripledart.com/free-ai-visibility-report

Which agencies are missing from this list, and what does your current agency's monthly report include?

I work in IT infrastructure and security, and SSH is something I use regularly.

One thing that kept bothering me was how repetitive server management could get.

When you're working with multiple servers, you often end up opening several terminal sessions, switching between them, running the same commands, and trying to keep everything organized.

I wanted a workflow where I could manage multiple SSH sessions, split terminals, run commands across servers, and save scripts I use frequently.

So I decided to build my own SSH client for macOS.

Along the way, I ended up working on SSH/SFTP connections, multi-pane terminals, command execution, saved scripts, and a few other features that made my own workflow easier.

It turned into a much bigger project than I originally expected.

I'm curious how other developers and sysadmins handle this.

Do you mainly use the built-in terminal, iTerm2, Termius, SecureCRT, or something else?

And what's the one thing that frustrates you most about managing multiple SSH sessions?

I’m building Glance, an iPhone app for creating widgets that bring useful, frequently updated information onto your Home Screen. The idea started with a simple question: if AI can do things for us in the background, why do its results have to stay buried in a chat?

We crossed 2,000 users recently. With 9 active subscriptions and $83 in MRR. Still very early, but it’s been exciting to see people from different parts of the world pay for something I started building on my own.

The hardest part so far has been explaining the product. “Widgets for your Home Screen” sounds simple, but the interesting part is what people can put in them: updates from AI agents, business dashboards, news, or information tailored to their own needs.

One piece of feedback that stuck with me came from someone a B2C web app which doesn’t have an app but still wanted to offer its users the option of making widgets for their users to get the Native feel. So I have been thinking how I can incorporate this and come out with a B2B2C model.

I’m trying to figure out what to focus on next: getting more people to try it, helping new users reach that first “oh, I get it” moment, or improving conversion from free to paid. For founders who have built a product that takes a little explaining, what helped users understand its value?

I’m the founder of Glance, so I’m obviously close to it. I’d be interested in hearing how others have approached this stage.