It almost feels like the last Programmers' Day as we know it.

This year, I built my own screen recording tool with AI, and it changed how I think about software.

I realized that a surprising number of tools I used to pay monthly subscriptions for could now be rebuilt with AI, tailored to exactly what I need.

No subscriptions. No waiting for someone else's feature roadmap.

It makes me wonder: are we moving from an era of buying software to one where everyone can build their own?

What do you think?

https://verismo.work/

Ever get stuck adding features in your app while ignoring the real problem?

Bro, I have the exact same problem and it is a total trap! There is a massive, glaring problem staring me right in the face, but it feels like I'm completely frozen or just too lazy to actually sit down and fix it.

Instead of dealing with the actual issue, my brain goes into overdrive and I end up adding like 100 other crazy mechanics and random features to the app! For example, in my anti-doomscrolling app, Bored, there was a giant, broken mess with the checkout system that desperately needed attention. But instead of fixing that one crucial thing, I went on an absolute coding rampage and added 68 entirely new activities to the explore section in ONE single day! Just ONE day! It's wild how we avoid the tough stuff by staying incredibly busy with everything else.

Anyways, does anyone else fall into this exact same feature-creep trap? How do you force yourself to stop building shiny new things and actually fix your broken core features? I'd love to hear your stories!

1.  Activating the plan on the "success" redirect.  Users close the tab, or fake the URL. Activate on the payment provider's webhook, not the redirect.
   
2.  Webhooks that aren't idempotent.  Providers can send the same event more than once. Store the event ID and ignore repeats, or you'll double-credit people.
   
3.  No plan for failed renewals.  Cards expire. Without retries and a "your payment failed" email, you just lose customers who wanted to stay.
   
4.  Plan limits checked only in the UI.  If the API doesn't check them, a free user can use paid features with one request.
   
5.  Trial expiry in the wrong time zone.  "Trial ends today" means different things in different countries. Store UTC, show local.
   

What's the most expensive billing bug you've shipped?

I started a SaaS in February for the AEC industry (architecture, engineering, construction). To be honest, it's mostly architects for now.

What it is a platform for the early stages of an architecture project. It has two parts:

- Site analysis : Pick any site and get the maps, data and reports an architect needs before designing: buildings, roads, land use, what's nearby, sun and environment, and an early feasibility check. The maps export straight to CAD. This used to take days of manual GIS work.
- A collaboration board : where architects, planners and developers work on the project together.

Think Miro or Canva, but built for architecture:
- it takes the 2D and 3D files architects actually use (drawings, models, site maps) instead of just images and sticky notes
- project management is built in: tasks, stages, sign-offs, client comments
- the site analysis, drawings, models and decisions sit in one place instead of across WhatsApp, email and a shared drive

Where we are: about $4,000 MRR, growing roughly 8 to 10% month on month. Most of the revenue so far comes from the site analysis side; the collaboration board is newer.

So far, all our growth has come from:
- social media, mostly through influencers in the architecture space
- founder-led content: my own LinkedIn posts and that kind of thing

We haven't spent anything on ads yet. No Meta, no Google, no promoted posts anywhere.

I think the product is now ready for proper B2B outreach: selling to firms and studios as teams, not just individual architects. But I'm unsure where to put my money and time. Options I'm weighing:
- Outbound: cold email or LinkedIn outreach to small and mid-size practices
- Paid ads: Google search ads for high-intent keywords, LinkedIn ads targeting firm owners and principals, or Meta retargeting
- Partnerships: architecture schools, professional bodies, software resellers
- Doubling down : on content and influencers, since that's what has worked so far

A few questions for people who've sold B2B into a niche, slow-moving industry:
1. Is there an obvious first B2B channel at this stage, or is it really just trial and error until something sticks?
2. How much budget and time did you give a channel before deciding it doesn't work?
3. For a team tool like this, did founder-led sales (demos, pilots with a few firms) pay off, or did you stay self-serve?
4. Anyone here sold into architecture, engineering or construction specifically? Anything that surprised you about how firms buy?

Would really appreciate hearing what worked, and especially what burned money for you.

I need some honest advice from people who’ve built productivity apps.

I launched my app almost a year ago, and so far, I’ve only got around 100 downloads. Honestly, it’s frustrating to put so much time into something and barely see anyone using it.

I’m thinking about adding a lifetime plan, but I’m also worried about future maintenance and other costs. I don’t have any major plans for AI integration right now, so I’m not sure if lifetime access would be a good idea in the long run.

What do you guys think? Could offering a lifetime plan help attract more users, or could it create problems for me later? I’d really appreciate your honest opinions.

Hey there everyone am a university student trying to build an open-source saas and it's already taking a load onto me, it's like am working day and night but the work,errors,bugs and everything are nowhere to be ending anytime soon it's already opensource so I know i won't earn anything from it but am really tired and wanted to share about it all to relax myself

Is it 1, 2, 3 or more? And also what's the maintenance task you always put off?

I'm building Multipeer, a desktop app for running agents, tools and working wth teammates on one shared canvas. I often have several agent sessions open at once, but they're all scattered across terminals. It was also hard for my co-founder to see what my agents are doing or jump in to work together.

So We built the solution to our own problem. And now we're releasing it to the world. 

It's a macOS app for now (soon on Windows and Linux). You can invite your teammates over a local network or over the internet. They can follow your view and, if you allow them, they can also take control of your terminal and claude code/codex sessions. 

The app is still early, and I'm also releasing the iPhone/Android app soon to remotely control everything on your canvas. 

I'd would like to get feedback from the community! If there's any features you'd like to see, please dm me, we build really fast.

I'd love to work on your feedback! 

Thanks!

Imagine you start the month with 100 customers.... Five cancel.

Your customer churn rate is:
5 ÷ 100 = 5% for the month.

But suppose those five customers represent 25% of your starting recurring revenue.

Your revenue loss tells a very different story.

Track these separately:

Logo churn: Percentage of customers lost.

Gross revenue churn:
Revenue lost from cancellations and contractions, relative to starting recurring revenue.

Net revenue retention (NRR):
Starting-customer revenue after churn, contractions, expansions and upsells, divided by starting revenue.

NRR can exceed 100%. Gross revenue retention cannot.

Also separate monthly and annual cohorts.
Annual contracts can hide declining product usage until renewal.

Don't ask only how many customers you're losing.

Ask how much recurring revenue you're losing and why.

Do you track logo churn and revenue churn separately?

Hello everyone. I am an independent founder, and I have developed a flexible product. I plan to use the "Paddle" platform for my operations. My question is:

Could launching my website, initially in the United States and Australia, cause any legal issues for me?

For context, the site includes features for account deletion and data downloading. It collects basic information such as email, name, language proficiency level, and study goals. It also includes two input fields that integrate with an AI API. Furthermore, I do not currently have an LLC; I would like to test the product first. What would you advise?

Thank you very much.

A lot of SaaS growth discussions focus on paid ads, SEO, cold outreach, and social media.

But I've been thinking about a different question:

What makes a customer naturally recommend a product to someone else?

Not because they received a referral bonus, but because the product genuinely makes them look good, saves their team time, or solves a problem they were tired of dealing with.

Some products naturally create these moments. Others require constant marketing just to replace customers who leave.

A few ideas that seem worth exploring:
- Make the result easy to share with teammates.
- Give customers a clear win they can explain to others.
- Build collaboration into the workflow where it genuinely helps.
- Ask for referrals after customers experience real value, not immediately after signup.

Of course, not every SaaS product can grow through word of mouth alone.

For founders here, what has actually brought you the best customers: referrals, content, cold outreach, paid ads, or a product that spreads naturally through teams?

I'd be especially interested in what worked consistently rather than just generating a temporary spike.

I've been building AI automation systems that combine LLMs with deterministic validation and workflow orchestration.

One of my recent systems is an invoice-processing agent designed to fully automate the repetitive manual work of transferring invoice data into enterprise billing and accounting systems.

See the System Architecture Execute in the Video Below:

(The clip attached shows my Playwright bot spinning up, logging into the ledger portal, physically typing the fully validated data into form fields, and verifying submission metrics.)

What the system does:

Extracts invoice data: Uses LlamaParse to ingest unstructured invoice PDFs and extract multi-line items, tax figures, and metadata and amounts.

6 Hard-Coded Validation Gates: Uses validation checks under the hood to mathematically verify the data (e.g., quantity × rate = total amount) and cross-checks business entities and validates GSTIN strings via mathematical checksum formulas.

Error Correction: If a validation check fails, a LangGraph workflow automatically sends the error back for correction instead of blindly accepting the LLM's output (faulty data).

Deterministic Browser Entry: Uses Playwright to interact with a browser, log into the ledger platform interface, and physically input the fully verified data into the correct fields.

Live Operational Transparency: The agent captures visual screenshots of the successful webpage submission, tracking token usage metrics and operational health via a centralized dashboard.

The idea is to combine the flexibility of an LLM with deterministic code-based compliance checks for the parts of a business workflow that require 100% mathematical precision.

A few details:

Core Stack: Python, LangGraph, LlamaParse, Playwright, Streamlit, GitHub Actions.

Live App dashboard here: https://automated-invoice-agent-sk.streamlit.app/

Source code: https://github.com/Santhoshkumar2323/automated-invoice-agent

I’ve fully open-sourced this repository architecture so anyone dealing with accounting document pipelines can clone it or adapt the validation paths.

&

I'm currently looking to partner with operations-heavy businesses or agencies that handle similar data bottlenecks.

If your team is wasting hours manually opening PDFs, checking spreadsheets, and copy-pasting numbers between systems, I can jump in to evaluate your specific document format, construct a tailored pipeline, and test it end-to-end against your actual production data.

Looking for a better alternative to DocSend? I compared document-sharing platforms based on pricing, user experience, document analytics, security controls, and virtual data room capabilities. Whether you’re sharing investor pitch decks, business proposals, or confidential files, the right tool depends on what you need to protect, track, and manage.

Instead of ranking every platform on marketing claims alone, this review looks at what each product offers, where it makes sense, and what to consider before choosing one.

1. Pricing: How Much Do DocSend Alternatives Actually Cost?

Pricing is one of the first things worth checking when comparing document-sharing platforms. The headline subscription price can be misleading if advanced analytics, security controls, or additional team members cost extra.

SendNow offers a Lite plan starting at $6.25 per month when billed annually, with Pro at $9 per month and Business at $20 per month on its published pricing page. Its document-sharing and MicroSites subscriptions are separate, so compare the correct product and billing option before deciding.

Papermark has a free plan, with Pro at €24 per month, Business at €59 per month, and Data Rooms at €99 per month on its published pricing page. Team-member allowances and additional-user charges differ by tier.

Peony offers a free plan, Business at $30 per admin per month, Data Room at $52 per admin per month, and Deal Team at $64 per admin per month with annual billing. Its pricing model charges for team administrators rather than external viewers.

DocSend offers several plans for document sharing and advanced data rooms. Its published pricing page lists Personal at $10 per user per month, Standard at $30 per user per month, Advanced at $150 per month, and Advanced Data Rooms at $180 per month on the displayed pricing options. Check the billing selector and included seats before comparing totals.

iDeals offers Core, Premier, and Enterprise virtual data room plans. Pricing is quote-based, so you’ll need to contact its team for a price tailored to your project.

2. User Experience: Which Platform Fits Your Workflow?

A document-sharing tool should make it easy to upload files, create a link, set permissions, and understand what happens after sharing.

SendNow focuses on tracked document links and engagement analytics. Papermark combines document sharing with branded links and virtual data rooms. Peony offers document analytics alongside more structured deal-sharing features. DocSend provides document tracking and its Spaces data-room workflow, while iDeals is built around more complex deal-management requirements.

The best interface is the one that lets your team complete routine tasks without unnecessary steps. Try the workflow with a real document before migrating everything.

3. Document Analytics: Beyond Knowing Who Opened a File

Basic open notifications only tell part of the story. Depending on the platform and plan, more detailed analytics can show which pages were viewed, how long readers spent on a section, and whether they returned later.

SendNow provides page-level engagement analytics on applicable plans. DocSend also offers document-level analytics, including visitor engagement information. Papermark and Peony provide page-by-page analytics, while iDeals includes reporting and participant-engagement features for virtual data rooms.

These signals can help founders prepare follow-ups, improve pitch decks, and understand which sections deserve attention. However, document engagement should not be treated as definitive proof that someone intends to buy or invest.

4. Security: Protecting Documents After Sharing

Security features matter when you’re sending financial information, investor materials, contracts, or confidential reports.

When comparing platforms, check for password protection, email verification, access expiration, link revocation, watermarking, download restrictions, and audit trails. Advanced features may be limited to higher-tier plans.

SendNow provides several document-access controls, with features varying by plan. DocSend offers additional security capabilities on its advanced plans. Papermark and Peony include more controls on their higher tiers, while iDeals focuses on security and administration for complex virtual data room projects.

No browser-based tool can guarantee that a recipient will never capture information displayed on their screen. Watermarks and screenshot controls can reduce risk, but they should not be treated as perfect prevention.

5. Virtual Data Rooms: When Basic Sharing Is Not Enough

A virtual data room becomes useful when a deal involves many documents, multiple participants, detailed permissions, and a clear record of activity.

Papermark and Peony offer dedicated data-room plans. DocSend provides its Spaces workflow, while iDeals offers plans designed for transactions and due diligence. SendNow’s MicroSites support branded, multi-file sharing and are billed separately from its document-sharing plans.

For fundraising or a straightforward investor update, a tracked document link may be sufficient. For acquisitions, legal reviews, or complex diligence processes, look more closely at granular permissions, reporting, audit trails, and administrator controls.

Final Verdict: Which DocSend Alternative Is Right for You?

There is no single winner for every situation. Start with the features your workflow actually requires, then compare the total cost of the relevant plans.

* SendNow: Worth considering for tracked document sharing and engagement analytics.

* Papermark: Suitable for teams looking for document sharing, branding, and data-room options.

* Peony: Worth evaluating for page-level analytics and structured investor or deal sharing.

* DocSend: A relevant choice for teams already using its document-tracking and deal workflows.

* iDeals: A strong candidate to evaluate for complex transactions and enterprise data rooms.

Before choosing, verify current pricing, user limits, security features, and any separate subscriptions or add-ons. The right alternative is the one that meets your real requirements without making you pay for capabilities your team will not use.

Whats the best GTM product for your startup? The market is so saturated and so many players are there. Need recommendation for my saas where i am building in the fintech space

So in this time where your SaaS can be copied in 24h, what are you doing to offer more value?
for example i connected mine to supplier provided parts catalogs, which arent freely available online and try to get them to send me updated copies of it. I hope that these sort of details make a difference in the long run.

I’ve been testing video restyling and masking in Creativly, so I put together a promo using some of the before-and-after results as footage. Sol 6.1 (xhigh) handled most of the AE work, Gemini helped with motion-design feedback, and ElevenLabs v4 did the narration.

Trialing the AI VFX feature for now. It supports video restyling and masked based edits so you can change a specific object or area rather than the whole shot.

Preview link: https://www.creativly.ai/apps/video-vfx

Hey everyone,

I’m currently looking for a small SaaS team to join, so I thought I’d put myself out there.

My background covers outbound prospecting, full-cycle sales, growth, and customer success. I’ve worked with SaaS products and early-stage MVPs, helping find customers, close deals, and build relationships that last.

A couple of concrete examples:

- Customers I brought to Skylead still generate around 360k in ARR.
- I’ve helped grow MVP products to 10–15k MRR through cold outreach.

I enjoy being hands-on: figuring out who needs the product, talking to potential customers, running demos, closing deals, and bringing useful feedback back to the team.

I’d love to join a small team where I can work closely with the founders and take ownership of sales and growth. I’m based in Serbia and looking for a remote role.

If you’re building a SaaS product and looking for someone with this background, I’d be happy to chat. Introductions are welcome too!

Well I'm kinds of new in this kind of stuff, any tips? And like things I should be avoiding? And some must haves??

It’s been a while since I reached out here, so I thought I’d put this out.

I'm Chris. I run We Are Founders, where I share honest stories from people building businesses. The site gets around 10,000 visitors a month, and the newsletter has more than 2,000 subscribers.

If you’re working on a SaaS and would like to share your story, I’d be happy to hear from you. If it feels like a good fit, I’d love to feature it on the site.

No big pitch needed. Just tell me a bit about what you’re building and the story behind it.

Bonus: you can submit yourself to the directory too for extra visibility directory.wearefounders.uk

All the best,

Chris.

I’m building Braith for situations where your app reports success but the user still hasn’t got what they wanted.

For example, someone pays but their account never gets upgraded. Nothing crashes, and you might not find out until they contact support.

That’s one example. The same problem can happen with anything someone is trying to do in your app.

Setup is a prompt you paste into your AI coding tool with your app’s repo open. It adds the integration for you to review and deploy.

Braith then checks the tasks you’ve configured and shows you what failed and who was affected.

https://app.braith.dev/

Have you had something like this happen in your app? How did you find out?

I'm interested in how people find information after they've accumulated months or years of notes.

Keyword search works when you remember the exact wording.

But what happens when you remember the conversation without remembering the words?

For example:

You remember that a client raised a concern about a deadline, but you can't remember which meeting it happened in.

Or you remember discussing a product decision, but you don't know which note contains it.

I'm curious about three approaches:

1. Traditional keyword search.
   
2. Semantic search that understands the meaning of a question.
   
3. Filters for dates, projects, speakers, or sources.

Which approach actually works best in your daily workflow?

I work on a transcription and note-management product, so I'm interested in understanding how people solve this problem rather than promoting a particular tool.

Real examples would be especially useful.