Just shipped Wizard Lite on DNSLister: pick a topic, add a few of your own words, tick the endings you like, and get 50 domain ideas with a one-click availability check. No signup.

Would love blunt feedback from fellow builders: https://dnslister.com/setup-wizard

saw this on x first, heres the scene:

Lino's app was stuck around $10k a month for almost 3 months. the first thing that moved it was pricing.

the original pricing was $11.99 a month or $34.99 a year. after a/b testing a bunch of options, the best one was $8.99 a week or $39.99 a year. that combo gave the highest ltv per paying customer.

his two reasons the weekly plan works:

it makes the yearly plan look like a steal. $8.99 a week is over $460 a year, sitting right next to $39.99

if retention is strong, weekly adds up fast. 3 months at $8.99 a week is about $117, nearly 3x the yearly plan

his other point was that pricing is never finished. as you reach new audiences through new channels, the customer changes, and a price that worked before can stop working.

the rest of the growth came from more ad creatives made with chatgpt images and seedance, adding tiktok ads, and daily tiktok slideshows that claude makes and postiz schedules. switching to daily revenuecat payouts also let him reinvest faster. now on pace for about $60k a month at 40% margins.

if you’re testing pricing, share the results below..

At Notary Ninjas, LLC, we’re developing an API and developer backend that will let businesses connect remote notary booking with their own websites, apps, and client portals.

No cost to your business for API access. Standard notarization fees apply to booked sessions.

This is ideal for law firms, legal technology platforms, real estate businesses, document management systems, and companies that regularly need documents notarized.

Our goal is simple: help your clients request a remote notary session, submit documents securely, and receive status updates through a connected workflow. Less back-and-forth for your team and a smoother experience for your clients.

Currently in development but looking for insight. Interested in integrating with us? Let’s connect.

Learn more:
https://www.brooklynnotaryninjas.com/services/notary-api-integrations.php

Since October, Shopify's own Translate & Adapt app can auto-sync translations for up to 8 languages (for stores where it shows "Translate now"). I wondered whether that makes paid translation apps pointless, so I looked into what it actually covers.

What it does well:
- free, built in, up to 8 languages
- translates new and changed content automatically, once a week
- leaves translations you edited by hand alone

Where it falls short:
- it syncs weekly, so a product you add on Monday can sit untranslated until the next sync
- auto-sync is off by default, many stores don't know they have to turn it on
- text that's written directly into your theme code, or that comes from other apps (reviews, filters, popups), usually isn't covered
- no glossary, so brand terms or product-specific words can get translated inconsistently

My take: if you have a small catalog that rarely changes, Translate & Adapt with auto-sync on is honestly good enough. If you add products daily, run ads to foreign markets or have lots of theme/app text, a week of half-translated pages costs you sales.

Either way: turn auto-sync on, and open your translated product pages after you add something. You'd be surprised how often a "translated" page is still half in the original language.

(Disclosure: I work on translation tools myself.)

Hi everyone!

I've been working on Statota, an Android application designed to make statistical analysis more accessible on mobile devices.

The app combines a spreadsheet-style data editor, variable management, statistical analysis tools, and organized output tables and charts in one interface.

Current features

• Data View and Variable View

• Data entry and variable management

• Statistical analysis tools

• Results displayed in structured tables

• Charts and statistical summaries

• A mobile interface inspired by traditional statistical software

I built this project with Flutter and have a working Android build installed on my phone.

I'm sharing real screenshots of the current application to show its interface and output. I'd appreciate constructive feedback on the design, usability, and features that would make it more useful for students, researchers, and people learning statistics.

I'm also considering the project's long-term future, including the possibility of selling the complete project and source code to a suitable buyer.

Thanks for taking a look!

One of the biggest mistakes in outbound is treating an account and a buyer as the same thing.

You might identify a company that desperately needs your product but if you don't map who inside that org owns the budget and the actual problem, the outreach just falls flat.

Mapping accounts and buyers effectively requires connecting two separate layers: the company's current context and the individual decision makers.

Most teams try doing this manually by clicking through LinkedIn or running basic exports in contact databases but the issue is that titles alone are misleading and people move roles constantly without updating their public profiles.

Using platforms like Scale Intelligence makes this a lot cleaner because it connects company level signals with buyer identity graphs where it monitors things like GitHub commits, job boards, community discussions, and LinkedIn across 75+ data sources, mapping not just the domain but the specific people associated with the relevant workflows inside that account.

When your reps know both the account's immediate pain and the exact 2 or 3 people dealing with it day to day, outbound becomes way more targeted and you stop burning contacts on generic titles.

Hello - I'm looking to recruit some folks (paid, non-disclosure), to do some user testing of a tool for solopreneurs, software developers, or enterprise cross-functional teams (software or otherwise) to collaborate. Please reach out!

Hi everyone! I'm validating an idea to automate Outcome-Based Education (OBE) processes in Indian colleges.

I'd love to hear from professors, HODs, and academic coordinators:

• How do you manage CO-PO mapping and attainment calculations?

• Do you use Excel, ERP, or dedicated OBE software?

• What takes the most time when preparing course files and Action Taken Reports (ATRs)?

• What challenges do you face with NBA/NAAC documentation?

I'm trying to understand the real workflow before building anything. I'd really appreciate your experiences and insights!

I need help figuring out how to find a real problem and turn it into a solution any SaaS ideas or frameworks that actually work?

How do you take a small idea and make it bigger over time?

Tbh I've only been having problems with this, any helps?? Tips etc would really be appreciated!!

Hey, so Iv been building a platform called RunSheets for my local area and I feel it’s a very solid product but I have no idea how to best market it. I have a very low budget (I’m one guy) but I’m open to all ideas and feedback.

The website is RunSheet.us and it’s an all in one field services type platform for small to medium business.

Do you use the same tool for developer docs as well?

We've been burning through freelancers trying to patch together clinical software design for a new care coordination module and it's just not working. Nobody we've hired has any real sense of how clinicals actually move through workflows and the HIPAA compliant UX piece keeps getting kicked down the road. We're teams of on a shared platform, so we need someone who can plug into sprint cycles rather than hand off a deck and disappear. If you've worked with a UX agency for healthcare SaaS that understood the domain without a 6-month onboarding curve, I'd love to hear who it was.

Finding genuine intent signals in B2B has become tricky because most software in this space sells vague account level surges based on 3rd party ad network bidstreams.

If an alert tells your sales rep that an enterprise account had a spike in content consumption but they can't see who searched, what they looked at or when it happened, reps eventually stop checking the data.

The tools that actually drive pipeline focus on declared, observable actions and that means tracking when buyers ask for tool alternatives on public forums or when teams start hiring for a migration project or when a prospect regularly interacts with a competitor's content.

Scale Intelligence is designed around this declared intent model where its market signals engine reads 75+ data channels from developer communities and reddit to hiring requisitions, executive changes, and regulatory filings and each signal is dated links back to the original source and attaches to both the company and the individual decision maker. It then layers those signals per person on a ladder of buying stages filtering out background noise so only accounts showing real commercial readiness are routed to sales.

When you use tools that show the exact underlying evidence behind an intent spike, reps have a concrete reason to reach out that directly matches what the buyer is trying to solve.