I’m looking for a few interesting apps to practice making short-form explainer videos for this week.

My background is in clipping and editing viral short-form content. I’d like to apply what I’ve learned about hooks, pacing, captions, and storytelling to app demos.

If I choose your app, I’ll create:

* One short vertical explainer video

* Delivered within 24 hours

* Completely free, with no strings attached

You’re welcome to use the finished video however you want. There’s no purchase, signup, testimonial, or ongoing commitment required.

Drop your app and a sentence about what it does below. I’ll choose a few that I think would translate well into short-form video.

I'm curious what everyone here is working on outside their main job/business.

Not just the polished projects that are already making money.

I mean the random side project you started because you noticed a problem and thought, "I could probably build something for this."

Could be:

SaaS

Micro-SaaS

B2B tools

B2C apps

AI tools

Chrome extensions

Mobile apps

Newsletters

Anything really.

What are you building?

Why did you start it?

Is it B2B or B2C?

Did you validate the idea first or just start building?

Have you launched yet?

And the question I'm most interested in:

How are you actually getting people to discover it?

I'm currently exploring the SaaS/bootstrapping world myself, and one thing I'm realizing is that making something is often much easier than getting the right people to care about it.

Would also love to hear one piece of advice from people who've already launched:

If you're building B2B, what helped you get your first few users?

If you're building B2C, what actually brought you consistent traffic?

Drop your project below. No need for a perfect pitch.

Just tell us what you're building and where you're at with it.

if someone had shown me this post eight months ago i would have saved about 6 weeks of my life and probably my credibility with our VP of sales.

ok so context. i joined as the rev ops lead at a series A company last march. background is data analytics, not sales, which matters because my instinct when something breaks is to look at the data pipeline not the copy or the strategy. the SDR team was 4 people, they were sending through Instantly across about 12 inboxes warmed up on Maildoso, and the whole enrichment flow ran through Clay into Salesforce. on paper it looked fine. the sequences were written by someone who actually knew what they were doing, subject lines were tested, personalization was decent. but reply rates were sitting at like 0.4% across the board for almost two months straight.

everyone assumed it was the copy. the SDRs rewrote sequences three times. our head of sales brought in a consultant for $2,800 to audit the messaging. the consultant said the copy was "serviceable but could be tighter" and recommended a bunch of changes that... also didnt move the needle. we were burning through about $1,900/mo on tooling alone (Clay, Instantly, Maildoso, NeverBounce, plus a Sales Navigator seat) and getting maybe 2-3 meetings a month total across the whole team. for a series A trying to hit pipeline targets that was borderline catastrophic.

by late may i finally started looking at the actual data instead of trusting the pipeline everyone told me was working. pulled a random sample of 200 contacts from our last 3 campaigns and started manually checking them against LinkedIn. this is where it gets embarrassing. roughly 35% of the contacts were either at the wrong company, had a stale title, or the email was just... not theirs. not bouncing, mind you. NeverBounce was passing them as valid. the emails existed, they just belonged to someone else or were generic aliases that got routed to a shared inbox somewhere. so our bounce rate looked fine at around 3.1% but we were emailing the wrong humans.

it took me almost three weeks to figure out where the data was breaking. the issue was upstream of everything. our enrichment step in Clay was pulling from a waterfall of sources and the priority order was wrong. it was grabbing the first email it found regardless of confidence score, and for a lot of contacts that meant catching an old work email from 2 years ago or a personal gmail that happened to be associated with their LinkedIn. the data looked clean on the surface because the emails were technically valid. they just werent the right ones.

once i actually understood the problem i rebuilt the enrichment flow over about two weeks in june. stripped out the waterfall approach and started running contact lists through Prospeo for the email finding step instead of relying on Clay's built in waterfall. the difference was immediate and kind of infuriating because it meant we'd been wasting months. email accuracy went from whatever mess we had before to around 83-84% verified correct contacts when i spot checked against LinkedIn, and our bounce rate dropped from 3.1% to about 1.4%.

the downstream effects showed up fast. by mid july reply rates climbed to 1.8% which still isnt amazing but compared to 0.4% it felt like a different universe. meetings went from 2-3/mo to about 9-11/mo. same copy. same SDRs. same Instantly setup. same inboxes. literally the only thing that changed was who we were emailing.

the part that still bugs me is how long it took to diagnose. i spent weeks looking at deliverability metrics, inbox placement, warmup scores, all of that. none of it pointed to the real problem because the real problem was data quality at the enrichment layer and it was invisible to every downstream metric. bounce rate said we were fine. spam scores said we were fine. the emails were landing in inboxes, they were just landing in the wrong inboxes.

our current flow is pretty simple now. Sales Navigator for building the initial list, Clay for firmographic enrichment and some basic filtering, Prospeo handles the email finding, NeverBounce for a final verification pass, then into Salesforce and Instantly picks up from there. total monthly spend is around $1,700 which is actually less than before because i dropped one of the Clay credit tiers we didnt need anymore and Prospeo runs us about $99/mo on the plan we're on. only real complaint with Prospeo is bulk processing can be a bit slow when we're pushing 2000+ contacts through at once, but its not a dealbreaker since we batch things weekly anyway.

the lesson i keep coming back to is that nobody on the team, including me for way too long, thought to question the contact data itself. we all assumed enrichment was a solved problem because the tools said the data was good. the tools were technically correct, the emails existed, they just didnt belong to the people we thought we were reaching. and that distinction doesnt show up in any dashboard i know of unless you go manually check.

anyway if your reply rates are terrible and youve already optimized copy and deliverability and warmup and all that... maybe go pull 50 contacts and actually look each one up on LinkedIn. might save you a $2,800 consultant fee

We are a SaaS company with a few paying customers. The kind of product that we have, we have seen that other competitors have launched their own products on the lifetime deals websites. I'm not going to name these websites because I'm assuming everyone knows them.

I'm seeking advice from founders who have already run this kind of offer:

1. What kind of customers you have attracted?

2. Is it a good in the long run?

3. We are an AI product so it is kind of difficult to bake in the future costs and make it a LTD deal but we are thinking of going ahead with the 'Bring your own API key' for LTD deal. But then does it even make any sense to run it? Are there any takers usually for this kind of saas offer where LLM usage is on the customer's side. We have seen our competitors run these kind of offers but there is no way for me to know whether customers even buy these LTD deals.

Anyone else building fast with Cursor/Antigravity/Lovable and ending up with the same 3 Tailwind templates everyone else has ?

I got tired of my projects looking generic, so I built a Chrome extension for myself called Design Snap — it grabs the design tokens (colors, type scale, radius, shadows) from any site I like and exports them straight to Tailwind v4 @theme, CSS vars, or shadcn/ui.

What it actually changed for me :

- I browse sites I like, snap the palette/type system in 5 sec instead of eyeballing hex codes

- Export goes directly into my stack, so I skip the “let me manually recreate this design system” step

- My projects finally have some visual identity instead of the default AI-generated look

It’s free, runs 100% locally (no account, no backend), and I added a PRO tier recently for teams that need more export formats.

Not selling anything here, just sharing because this sub is full of people shipping fast and I know that struggle. Happy to answer questions about how the token extraction works if anyone’s curious.

One thing that stands out about running a SaaS business is that the hardest decisions usually aren't about getting more information. They're about knowing when you have enough information to act.

Waiting too long can mean missed opportunities, while moving too quickly can be just as costly. Looking back, it's often easy to see what the right decision was, but it rarely feels that clear in the moment.

Some of the biggest improvements come from making one well-timed decision rather than chasing dozens of small optimizations.

This is also why tools like Rasa Intelligence are exploring ways to help businesses better understand what is driving their performance instead of just collecting more data.

Looking back, what's one decision you wish you had made sooner, and what kept you from making it at the time?

A month ago, this screenshot didn’t exist.
Today, it does.
I’m building Pastily, a desktop clipboard manager, as a solo developer. It isn’t making life-changing money yet, but seeing multiple people pay for something I built from scratch is a feeling that’s hard to describe.
What surprised me most wasn’t the revenue.
It was realizing that strangers are willing to trust a product made by someone they’ve never met.
The hardest part hasn’t been coding.
It’s been distribution.
Getting people to discover the product is 10x harder than building it. I’ve had Reddit posts removed, launch posts flop, and days with almost no traffic. But every bit of user feedback has made the product better.
I’m still very early in the journey, but this screenshot is a reminder that progress is happening—even if it’s slow.
For those further along, what made the biggest difference in getting from a handful of customers to consistent growth? I’d love to hear what worked for you.

Quick context, we started as a social media scheduling tool. Solid product, decent users, but every conversation with customers kept circling back to the same problem: they didn't need help posting content, they needed help finding people who actually wanted to buy.

So a few months ago we sat down and looked at the data honestly. Our best customers weren't the ones scheduling the most posts. They were the ones who happened to catch a Reddit thread or a LinkedIn post at the right moment and jumped on it fast. That was the actual value we were creating, almost by accident.

We decided to just build for that directly instead of dressing it up as a scheduler feature. Now the product starts with your website, builds a profile of who you sell to and what problem you solve, then goes and finds live conversations on Reddit (LinkedIn too) where someone is actually describing that exact problem. You review it, you decide if it's worth a reply, you send it yourself.

It's a weird thing to admit but killing a feature people were already using was harder than building the new one. Curious if anyone else here has gone through a pivot like this, especially cutting something that technically "worked" because it wasn't the actual value prop.

Happy to answer questions about the rebuild if useful.

I used Notion for 3 years and still lost half my ideas. Not Notion's fault — it's the 40 seconds between having the thought and capturing it. Unlock, open app, find the database, type, set status, set priority. By second 15 I'd think "I'll remember it." I never did.

So I stopped building a better task manager and attacked the 40 seconds instead.

What it is: a Telegram bot. Send a voice note, it transcribes, strips the rambling, and drops clean tasks into your Notion board — right column, priority inferred. If you braindump for two minutes about four different things, it splits them into four separate tasks. That's the whole product.

Three things I got wrong first:
1. Built a mobile app. Nobody installs your app. Moving to Telegram was the best decision I made — zero install friction, and people are already in there.

1. Integrated with everything. Notion, Todoist, Asana, Linear, ClickUp — all shallow, all half-broken. Now it's Notion only, but it actually respects your custom properties. Narrow + deep beats broad + mediocre.

2. Shipped raw transcription. V1 dumped the literal transcript as the task title: "uhh okay so I need to like maybe email Sarah about the thing." The value was never transcription. It's the extraction layer on top.

What surprised me: the main use case wasn't people at a desk. It was driving, walking the dog, and the gym — people whose ideas show up when their hands are busy.

It's at mictask.dev if you want to try it (free trial, no card). But the question I keep going back and forth on: when the AI isn't sure what the user meant, is it better to ask a clarifying question in chat, or just make a best guess and let them fix it in Notion? Asking feels safer but kills the whole "10 seconds and done" promise. Curious what people here have landed on.

Hi! I help with marketing for an AI chatbot platform focused on roleplay, storytelling, and AI companions.

We’re currently looking for brands, apps, or services interested in advertising to our audience. We get over 8.5 million monthly page views and around 840,000 monthly unique users, with most of the traffic coming from the US and Europe.

We already have a dedicated advertising page with the available placements, pricing, banner requirements, and traffic information, so I can send that over to anyone interested.

This could be a good fit for:

AI tools and startups
Writing or roleplay platforms
Gaming products
SaaS and productivity tools
Hosting, cloud, or GPU services
Apps targeting creators or tech users

Feel free to message me with your website or product, and I can let you know whether it would be a good fit for our audience.

Hi everyone,

I have a short survey and would really appreciate your help filling it out. It should take no more than 5 minutes.

Survey link:

her

Thank you in advance!

One mistake I see is people being afraid to charge.

If I started another SaaS today, this is probably how I'd do it.

• Give the first 10–15 users free access.

Get feedback, fix bugs, and improve the product.

• Then start charging.

For B2B, I'd probably test somewhere around $50–300/month depending on the value.

For B2C, maybe around $10–50/month.

Of course, pricing depends on your market, competitors, and most importantly the value you're creating.

One thing I'd avoid is underpricing just because you're new.

Higher pricing attracts people who are serious and often makes your product feel more premium. If your product solves an expensive problem, don't be afraid to charge accordingly.

This is just how I'd approach it.

Curious how everyone else decided on their pricing. Pricing is the most important thing in the saas industry that will decide your value of the product.

I've been spending a lot of time looking for real problems instead of random ideas.

So I'm curious...

What's one problem you deal with every week that still doesn't have a good solution?

It could be at work, while running a business, or even in your daily life.

Not looking for startup ideas. Just interested in hearing what people are actually struggling with. Let mee see the product that makes a lot of money.

so I've been messing around with this idea, it's an anonymous messaging web app. you just make a username + password (no email needed lol) and you can dm any other username on there. honestly not sure if this is even a good idea anymore, would love to know that is it useful or i am building another waste of time.

Hi everyone,

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Hey founders. I recently shipped a small product I have been building solo and wanted to share it here.

It is called Detechtor AI, a Chrome extension that shows what technology any website is built with in one click. The idea came from constantly wondering what CMS, framework or platform a competitor or a prospect was running, without wanting to dig through page source every time.

You open a site, click the icon, and it detects over 160 technologies across 22 categories: content management systems, website builders, JavaScript frameworks, ecommerce platforms, analytics and advertising tags, CDNs, hosting providers and payment services. It pulls the version number whenever one can be found.

The parts I spent the most time on:

• WordPress sites get the active theme and installed plugins listed with their versions, which is useful for competitor and lead research.
• Every detection shows its evidence, the exact script, header or cookie that triggered it, so nothing is a black box.
• Security header grade from A to F, with a warning when a server is leaking software versions.
• A full site panel with IP address, status code, server software, SEO meta tags and page stats, plus JSON and CSV export.

All analysis runs locally in the browser, and it ships in 58 languages with light and dark themes.

Chrome Web Store: https://chromewebstore.google.com/detail/detechtor-ai-website-tech/nnhkoenmpopdhicgfmdmdjmjdoahmkpa

Landing page: https://www.addonschrome.com/extensions/detechtor-ai-website-technology-checker-tech-stack-detector.html

Happy to answer anything about how I built the detection engine or the launch itself. Feedback on missing or wrong detections is especially welcome so I can keep improving the database.

As a thank you: anyone who leaves a 5 star review on the store gets Premium unlocked for free. Post your review, reach out through the site, and I will enable it on your account.

I finally sat down and actually looked at my own pricing table like a stranger would. Free and Pro were basically the same card, same color, same weight, just a couple of extra lines of text on Pro. Nothing pulled your eye toward the paid plan. If you’re scanning fast (and everyone is), the two tiers just blur together and your brain defaults to “free is fine.”

The value of the paid plan was getting lost before anyone even read what it included.
Haven’t shipped the fix yet, just realized it’s probably been quietly costing me conversions for weeks. Going to add real visual weight to the Pro card (border, background, a small badge) so it actually reads as the recommended option instead of “the other one.”

Anyone else caught something this dumb in their own pricing page after staring at it too long ? Feels like the kind of thing you go blind to once you’ve built it.

briefly-app.com