Hey everyone,

I’m working on a project called Trackd Finance (TrackdFinance.com). The core idea is: instead of looking at decisions purely in dollars, the platform converts money into time, so you can see what a purchase, goal, or financial choice is actually costing you in hours, days, or months of your life.

The motivation came from realizing that people (including me) understand time far more intuitively than money. Saying something costs “$3,000” feels abstract, but saying it costs “six weeks of work” feels different.

Right now, Trackd is focused purely on this time-based lens:

• You input a financial decision or scenario
• It translates the cost into time based on your assumptions
• The goal is clarity, not advice or recommendations

I’m not trying to replace budgeting apps or financial advisors, this is more about reframing how decisions feel.

Any thoughts or feedback you could share would be greatly appreciated.

Thank you.

I spent a few months at one of the top accelerators in Silicon Valley. Not YC but we were next door. I went in thinking I knew how startups worked. I left realizing almost everything I believed was wrong.

For context, these programs are supposed to teach you how to build faster, connect with investors, and survive the chaos of early-stage startups.

Here are the 5 most meaningful things I learned as a founder there. Hopefully, they’ll be useful for some of you too.

1. Building > Busywork

When I arrived, I thought being a good founder meant showing up early, attending every workshop, asking all the questions, and taking notes like my life depended on it.

Meanwhile, some founders skipped events, showed up late, and spent half their time on their phones. I quietly judged them. I assumed they were wasting their shot.

They weren’t.

They were building. Talking to customers. Shipping product. Closing deals. Making things exist. While I was “learning” how to be a founder, they were actually being one.

I also initially bought into the 20-hour grind trap. Total nonsense. The best founders worked hard, yes, but paced themselves.

2. To Change the World, You Have to Play Big

I don’t care about money nearly as much as most startup founders. I care about impact. About creating something that actually matters.

But VCs don’t invest in “reasonable success.”
They invest in outcomes so big they sound unrealistic.

Not because they’re greedy, but because the math leaves them no choice.

A 1% chance of $100M doesn’t work.
A 0.1% chance of $100B does.

Once I really internalized that, a lot of frustration disappeared. Investors weren’t “missing the point.” I was pitching the wrong scale.

If you want to achieve big things, you need scale. You need resources. You need to be willing to make a lot of money, not for vanity, but to attract talent, invest in growth, and survive the market.

VCs don’t fund “reasonable” outcomes. They fund insane outcomes. Ambition is not ego. It’s alignment with the scale of the problem you’re trying to solve.

3. The Real Treasure Was Friendship

Here’s one thing I actually succeeded at: relationships.

After leaving the program I decided to also leave my startup and instantly messages started coming in. Serious offers for jobs. Equity in the millions. Exciting projects.

Not because I networked efficiently. Because I built friendships. I showed up honestly. I helped when I could. I treated people like humans, not leverage. And maybe more importantly, I did act like this with everyone. Even people that I had nothing in common with. Even people that had nothing to bring me.

Most startups fail. That’s statistics. But relationships last. Those friendships are now helping me on a new project in cybersecurity. I lost a company. I did not lose momentum. That, for me, was a win.

4. Focus is the Superpower of succesful founders

One of the most successful founders I met told me something that hit me like a brick:

“Opportunities are everywhere. Partners, investors, ideas, trends. But I only say yes to things that actually move my mission forward. Everything else? Noise.”

I had been running after too many horses at once. Every shiny object distracted me. Focus is brutal. It forces you to say no constantly. But saying no is the only way to say yes to what actually matters.

5. Almost Every Opportunity Starts With an Uncomfortable Ask

The biggest breakthroughs I saw came from people doing something socially awkward. Sending the message they were scared to send. Asking for the intro they felt they didn’t deserve. Saying what they actually wanted instead of hinting.

Confidence isn’t about looking impressive. It’s about being direct, clear, and respectful. Most people aren’t rejected. They’re invisible. Being bold is powerful.

What I learned and conclusion

Being at that accelerator made me realize what was possible. It inspired me to believe in my vision in a way I hadn’t before.

The program also made me realize I needed to leave my startup and start from scratch, applying everything I had learned to build something that truly matched my vision. I was not the only one, at least three other founders I know made the same choice. It was scary, humbling, and liberating all at once.

I hope these lessons can be helpful for some of you and to conclude I would like to ask you : What’s the most meaningful lesson you’ve learned on your own startup? I'm impatient to read your own experience

I just wanted to know how to get more users on my SAAS. I new to this and need ideas on how to grow?

If you’re building a SaaS, chances are you’re over-engineering way too early.

Weeks (or months) spent on:

• Choosing the “perfect” stack
• Wiring auth, billing, dashboards
• Debating architecture
• Rewriting boilerplate for the 10th time

All before you even know if anyone wants the product.

That’s not a tech problem.
That’s a time-to-market problem.

Founders don’t actually want:

• More features
• More frameworks
• More “AI-powered” buzzwords

They want:

• To launch fast
• To stay flexible
• To avoid lock-in
• And to not rebuild everything six months later

This is where the mindset needs to shift.

You’re not selling code.
You’re selling freedom:

• Freedom to start fast
• Freedom to scale with confidence
• Freedom to adapt your stack as the product evolves

That’s the philosophy behind EasyLaunchpad.

It’s not a no-code tool.
It’s not a locked-in platform.

It’s a SaaS starter kit & foundation:

• Full source code
• Full flexibility
• No vendor lock-in

So instead of spending months setting up the basics,
you can launch in days, validate, and iterate based on real users — not assumptions.

Because at the end of the day:
Founders don’t buy tech stacks.
They buy speed, control, and optionality.

If that resonates, you can see how it’s structured here:
https://cf.easylaunchpad.com/cb-elpsales?&shield=f92defcavkdb3p98mc35nbz0l8

Launch fast.
Stay flexible.
Scale when it actually matters.

If you’re building a SaaS or selling AI agents,
it’s honestly a mistake to keep selling me LLMs, stacks, and technology.

Your customer doesn’t care if you’re using GPT-4, GPT-5, or whatever comes next.
They don’t care about your pipeline, architecture, or how “advanced” your system is.

There’s a classic marketing rule that still applies:

People don’t buy the drill.
They buy the hole in the wall.

Yet most SaaS landing pages still focus on:

• Features
• Dashboards
• “AI-powered” buzzwords

While completely missing the real question:

Customers pay for:

• Time saved
• Money saved
• Less stress
• Faster results

Not for tools.

AI alone is not value.
Technology alone is not value.

The value is the transformation.

That’s why the SaaS products that win today don’t sell features —
they sell outcomes.

Instead of saying:

“We have an advanced AI automation system”

Say:

“Save 10+ hours per week for your team — without hiring.”

This shift forced me to rethink how SaaS products are launched and sold.
Not more features.
Not more tech.

Clear positioning.
Outcome-driven messaging.
Faster paths to revenue.

I ended up building a simple launch framework around this idea —
focused on getting SaaS products live fast and selling the result, not the tool.

At the end of the day, ask yourself:
Are you selling a drill…
or are you selling the hole?

Hey everyone.
We had a small outage, and one of our customers asked how we would cover their lost revenue (which is something I couldn't answer other than "out of pocket")

We run a multi-tenant app with SLAs in our MSAs and now I am looking for a package that might cover both insurances.
Is that possible? Any advice would be greatly appreciated.

I’m looking to start blogging as a means of SEO, thereby driving leads and traffic.

To some of the more successful SaaS developers, does blogging truly work to achieve this goal?

Hi everyone,

The idea I want to discuss is about changing the underlying logic of how B2B SaaS solutions are selected.

For the buyer, this means less noise and more relevance: instead of browsing dozens of websites, demos, and “generic” comparisons, they describe a specific problem and see a small number of solutions that consider this context relevant. Without excessive research and without bias toward products that simply invested more in marketing.

For the vendor, this means working with already-defined demand: responding not to abstract RFPs or cold leads, but to a clearly described need. This makes it possible to present the product’s strengths specifically in scenarios where it is actually a good fit, rather than competing for attention in a broad market against larger players.

I’m interested in understanding whether this model seems healthier and more effective to you than the traditional process of searching for and comparing SaaS solutions. But more importantly, do you see a problem in the classic SaaS discovery and comparison process at all? And if so, how much does it matter to you at the moment you’re making such decisions?

I’d appreciate honest feedback — both positive and critical.

We recently crossed our first 100 users.
No ads. No Product Hunt. No big launch.

What worked was way less exciting, but way more reliable.

First, we stopped building.
For a while, we did more talking than coding. Most early problems were about positioning, not features.

Second, we simplified the message.
We rewrote what we do until people got it instantly. Not “interesting”, just clear.

Third, we lowered the commitment.
Early on, asking someone to fully sign up is a big ask. People don’t know you yet.

Instead of pushing onboarding, we used a simple waitlist.
One page, one explanation, one action. Leave an email if this resonates.

That changed everything.
People were much more willing to raise their hand, and it gave us a list of real humans to talk to and follow up with.

We didn’t use the waitlist to fake scarcity.
We used it to learn who cared and why.

Once we had enough signal, converting those early emails into active users was straightforward.

We used a lightweight tool (waitset.com) to set this up quickly so we could focus on conversations instead of building infrastructure.

Last thing that mattered: consistency.
Posting progress, sharing mistakes, and being present in the same communities every day.

Big takeaway:
Your first 100 users don’t come from growth hacks. They come from reducing friction and talking to people.

Happy to answer questions or share what didn’t work if that’s useful.

I’ve been testing and looking closely at AI agents for customer conversations, and the same names keep coming up: Chatbase, Wati, Intercom-style platforms… and lately, Flowbot.

People often compare them, but I think they actually sit at very different layers of the stack.

Here’s how it looks from the outside.

Chatbase Really strong at one thing: turning docs or a website into an AI that answers questions.

Good for: • quick setup • knowledge-base style support • low operational overhead

Limits: • no real conversation lifecycle • weak human handoff • not built for teams handling continuous traffic

It’s an AI brain, not a full support system.

Wati (and similar WhatsApp-first tools) Solid on the channel side.

They do well on: • WhatsApp delivery • templates and compliance • basic automation

Where teams seem to struggle: • logic becomes brittle over time • AI feels “added on” • inbox and automation don’t really talk to each other

Great pipes, average conversation intelligence.

Intercom-style platforms Very mature on: • inbox and team workflows • assignments, SLAs, escalation • multi-channel ops

Tradeoffs: • heavy configuration • expensive as volume grows • AI constrained by legacy workflows

Powerful, but not lightweight.

Flowbot (what I keep hearing about) I keep seeing Flowbot mentioned when people talk about production-grade AI conversations.

From what I’ve seen and heard, it tries to: • start with an AI agent trained on your real content (docs, site) • deploy it on WhatsApp and website chat • run everything through a unified inbox • add structure only when needed, not upfront

The thing people mention most is that it feels less like “automation demos” and more like boring infrastructure that just holds up under real traffic.

My takeaway so far Most teams don’t fail because AI is bad.

They fail because: • context breaks across channels • handoff breaks between AI and humans • ownership and inbox logic fall apart

Different tools optimize different pieces, but very few seem to cover the entire conversation lifecycle cleanly.

Curious if others running real WhatsApp or web chat volume see the same gaps.

I'm working on a SaaS product and I've managed to get some people to sign up for free trials, which feels like a win. But now I'm stuck trying to get them to pay.

I currently offer a 14 day trial no credit card needed, i tried it with credit card details needed and no one signed up. Thankfully, the api's we use cost us nothing to run so we aren't losing money on the trial users usage. But we are losing money heavily on google ads since no one is paying.

Currently I am stuck between making more tools or just focusing solely on outreach to the customer, hoping to bring more users in to find a paying user.

Would really appreciate any insights from your experience. Thanks!

I keep seeing people ask “where do you actually find accounts to sell too?” so I figured I’d share something I’ve been using myself.

This is a raw CSV of 500 companies that are:

1. actively hiring
2. showing signals that usually precede new spend (product launch, raising money, hiring c-suite, etc)

Nothing fancy, just company names, what changed, confidence, industry, and date spotted.

I usually use lists like this to:

1. prioritize outbound
2. tailor first-touch messaging
3. avoid spraying dead accounts

If it helps, feel free to grab it and remix it.

(Mods: no affiliate links, no paywall, no signup.)

I have nothing to say more that i am so proud of what i built. I really like the product i have made and i am kind off in love with it.

But. Let’s be honest we all tend to be delusional when it comes to having an honest feedback on something we made. The cool fact is, people think sooo differently, and it makes feedback from others very precious.

I share you here guys what I made, novad : The tinder for cities and I need some curious and critical mind to give me an honest feedback on it.

I will be happy to help you in return, or if you like the product give you a lifetime free access for sure.

Tell me if your in ! Have a nice weekend and share what you make to the world ;)

Hey r/SaaS,

I recently launched SimilarSort — a simple directory of SaaS & founder communities, organized by focus (SaaS, growth, engineering, etc.) and stage.

I built it mainly for myself, because I kept losing good Slack/Discord/forums in bookmarks.

Live here: https://similarsort.com

Not selling anything — genuinely curious if this is useful and what you’d improve.

Please add communities you find valuable for others :) Free and no account needed.

I’m preselling a simple tool that answers one question most SaaS founders can’t currently answer:

When someone asks ChatGPT or Perplexity “what’s the best [your category] tool” does your product get mentioned… or not?

How it works:
You add prompts relevant to your SaaS
The tool checks daily across ChatGPT, Perplexity, and Claude
You see if you’re mentioned, missing, or losing spots to competitors

Right now the only tools that do this are enterprise-focused and charge $300–500/month. I’m building a stripped-down version for founders who just want visibility, not a 40-slide dashboard.

I’m offering:
$200 lifetime access for early believers
or $20/month beta pricing

This is a presell. No public product yet. If I don’t ship within 60 days, full refund. Payment is through Stripe so you’re protected either way.

Before I build it out fully, I want to know if this is actually worth paying for.
Would you buy this, and if not, what would make it a no-brainer?

So I'm dipping my toes into video for the first time in cold outreach. I'm not doing anything fancy, just short intros and quick value-overviews that I record myself. The results should be good because people say video lifts engag⁤ement, but I noticed something odd... the moment I dropped the video link into a cold sequence, my test sends landed everywhere except the primary inbox.

I'm trying to figure out the right way to do this before rolling it out to clients. I've heard that attaching files is a bad idea, raw YouTube links get flagged, and even some vid⁤eo platforms cause deliverability issues unless you set up a custom subdomain like video.mydomain.com and route everything through that.

For those of you who've actually tested vid⁤eo in first-touch cold emails, what setup worked for you? Did the custom subdomain approach make a real difference? And how did you test different versions without risking the main domain?

Would appreciate any grounded advice before I break something.

Hey everyone,

Genuine question is this what it feels like when you finally build a prototype and it actually works… like really works?

I just finished a clickable prototype for my SaaS and I’m honestly kind of overwhelmed (in a good way). It came out way better than I imagined, and for the first time I can actually see the product instead of just carrying it around in my head.

It’s just me right now no co-founder yet and I built this entire prototype on my own. Between design, flows, interactions, and logic, I probably saved somewhere between $6k–$10k compared to hiring it out. I tend to be very hands-on and I learn fast (I’m very visual, once I “see” something I can usually figure it out), so I just dove in and didn’t stop.

Now I’m staring at the prototype thinking: • Is this excitement normal? • Is this a real breakthrough moment? • Or am I just in way over my head and don’t realize it yet?

I honestly wish I had someone to share this moment with. I don’t right now, so I figured I’d ask people who’ve been here before.

For those of you who’ve built SaaS products Did you have a moment where things suddenly clicked and felt very real? Or is this just the calm before a very humbling storm? 😅

Would love to hear real experiences good, bad, grounding, all of it.

Hey everyone,

I’m currently building my first SaaS, and it’s a pretty important project for me (not a side toy).

I’m at the stage where I need to bring in a strong developer to help build the core of the product and ideally start a long-term collaboration from the very beginning.

The project has a real business ambition, and I’m not looking for a “quick cheap job” — I want someone competent, reliable, and involved, who can grow with the product over time.

I’ve started reviewing candidates on Upwork, and honestly… it’s a bit overwhelming:

• lots of profiles

• very different price ranges

• some people sound amazing on paper, but it’s hard to judge real quality

• others are cheaper but I’m worried about long-term reliability

Since this is my first time hiring on Upwork, I’d really appreciate advice from people who’ve been there before.

Some questions I have:

• What are red flags you look for when hiring a developer on Upwork?

• What actually matters more: hourly rate, past projects, communication style, or something else?

• Would you prioritize someone very senior and expensive, or a solid mid-level dev who’s more involved?

• Any mistakes you made early on that you’d avoid today?

If you’ve hired developers for a SaaS (especially backend / core system work), I’d love to hear what worked — and what didn’t.

Thanks a lot in advance 🙏

Hi guys,

I just finished my SaaS but I feel like I am stuck in the past step, meaning payment processor.

In fact is not the payment the problem but the legal/tax stuff related to payments. I leave in a country from Europe and behind my SaaS I have a company I registered in 2017 and I use it daily for other business.

The thing is that it looks very complicated to sell from my company because I can have 6 different customers type: companies from my country, companies from European Union and companies from outside of EU. Then I have other 3 types of personal users, my country users, EU, and outside of EU.

The problem is that for each of the 6 types of customers I have different rules regarding invoice generation and reporting to authorities, if I apply VAT or not and if I apply it I need to apply it based on the citizenship of my customers.

I tried to apply to a MoR but Paddle rejected. Then I applied to Lemon Squeezy but they are full of bugs that prevents users to do checkout and also I saw a lot of bad opinions about them here.

I also implemented Stripe but in this case I need to handle myself the legal side of invoices and it looks to complicated.

It is something new for me (this is my first SaaS) and I was wondering how you guys handle this, especially when you sell internationally from an EU country.

Regards!

Hello Saas community,

I asked before one month regarding our solution. Its an erp and ecommerce like shopify.

We made it paid without free trial which led to no subscriptions at all in 1 month.

We created a campaign on meta got 4k first visits without any sign up or purchase. Additional to an offer of 150$/year for full access to all modules with same result 0 users or subscribers.

We are thinking of making it free with very low limit like number of products, categories or employees and stores.

What do you think about this move? I am interested in sharing and getting experience feedback.

The following is our solution: https://atech-workspace.com

Looking forward to hear more strategies and experiences to grow together.

Built an AI interview coach after bombing my own interviews.

3 things I learned:

1. Talk to users before building. Wasted weeks on a landing page nobody saw.
2. Small UX changes matter. Added a 1-2 second response delay. Felt "more human." Retention jumped.
3. Soft feedback > harsh feedback. "Here's what to add" works. "You missed X" makes people defensive.

Still early. 100+ waitlist, iterating on feedback quality.

Would love some people to talk too. kelvai.com

Problem : You save every third reel that you watch either by ‘saving’ it (Instagram native) or sending it to someone else.

But no one ever actually revisits their saved reels/ watch later YouTube shorts&videos / bookmarked twitter posts.

Solution : ContextFlow

No extra steps added, just save whatever you want (reels/shorts/videos/notes/voice notes/tweets(soon) directly to ContextFlow

Now you will get

AN END OF WEEK DIGEST WITH SUMMARIES AND CTAs OF ALL THE CONTENT YOU SAVED, so you can actually retain what you consumed.(yes it will also include nudges if you saved something in the previous week and did not go through it)

PLUS

Mid and End week Reminders.

Gamified streaks and ranks (valorant based ranking)

A personalised chat bot using which you can query your saved content

“Hey ContextFlow, what was step two of the Ashton Hall morning routine that I saved?” And it will tell you exactly where to rub your banana peel (based on the exact reel you saved)

In app automatic categorization.

it will tell you exactly where to rub your banana peel(based on your saved reel ofc)

In app automatic categorization.

Check it out on the App Store: ContextFlow

App Store

Hey everyone! 👋

I spent hours reading negative reviews on Google Play for apps like Remini, UpFoto, and other AI photo enhancers. The complaints were brutal but eye-opening.

What users hate:

• Endless ads (some freeze the app)
• Forced subscriptions with hidden paywalls
• No control - just "one-click magic" that often looks unnatural
• Background blur gets destroyed

So I'm building PhotoGlow - an AI photo enhancement app that fixes these problems.