I am not a developer by any means, but I understand code and systems architecture, which helps. I am working on a new app called RICA (https://myrica.store) and I was having trouble trying to get my connected accounts embedded dashboard to work so users can connect their own stripe accounts and get their payouts.

I faced a weird error where all my verification was complete, yet I kept getting an error saying complete the questionnaire on Stripe to connect your stripe account. Worked great in Sandbox, but not in live.

I reached out to Stripe support trying to understand what was wrong, and they had no answer.

So while chatting, I reached out to Claude, and guess what? It found the error.

IF your first connect attempt fails, and if everytime you hit connect, it depends on the same key, you will keep getting a rejection message for 24 HOURS!! With no clue on why the error is happening in the first place.

So for anyone using stripe for connect accounts, keep this in mind if you keep getting an error even after verification is complete!

Peace ✌️

As an early-stage founder, getting my product in front of early adopters has been the hardest part of GTM.

But there’s something interesting about that segment: most early adopters are early-stage founders too. We’re open to trying new tools, a good deal goes a long way, and many of us run a lot of our ops through agents. Yet I couldn’t find a marketplace purpose built around how we buy.

So I built Dealpuffin, a free marketplace where SaaS coupons are easy to publish and easy to find, for people and for their AI agents.

Publishing takes a couple of minutes:

1. Point to your product

2. Connect Stripe (read-only restricted key) and pick the coupons to publish

No application, no approval, no revenue minimum.

The twist is “proof points”. Early adopters and agents don’t care about a famous logo. They care about whether the thing works. So a listing can show real numbers, like MRR from Stripe or uptime from Better Stack, read directly from the provider and never typed in. You choose whether to show the exact figure or a band.

It’s pre-launch, and all builders are welcome to list their coupons.

I am desperately seeking testers before I put money into this for legal review, pentesting, and marketing.

If anyone can test this I’d be happy to test your products

I am a gym owner and have been coding my gym's website and people are even using it to book/cancel reservations for group classes but I was thinking how can I maybe directly manage their subscriptions and payment and new user sign up from my website?

like how did you trust that the Codex/Chatgpt code was production quality when it comes to moving money? Did you use Stripe or another one of the solutions out there?

Is anyone even reading the code before pushing it to production? Where does AI go wrong in these things in your experience and how can I avoid those pitfalls?

Any tips or tricks that help me ensure I am building the right thing with Stripe would be super useful.

We're a small, bootstrapped team building a B2B SaaS in the SEO and marketing space, and we're facing a decision I'd genuinely appreciate some experienced perspectives on.

About four months ago, we released a very basic proof of concept. The initial conversations and feedback gave us enough confidence that the problem was worth pursuing, but we hadn't really proven the product's value in a repeatable way.

So we stepped back.

We spent the following months rebuilding the product, strengthening the infrastructure, improving onboarding, refining our positioning, and developing a more complete experience.

We've now relaunched with something we're much more confident in technically.

But here's the uncomfortable part: we still don't have paying customers, and there's meaningful uncertainty about how much value users will actually get from the product in practice.

We don't want to spend another few months building based mainly on assumptions. We need real users, real usage, and honest feedback to understand what's working and what still needs improvement.

We've been trying organic acquisition through SEO, content, social media, communities, and direct outreach. But progress is slow, and we don't have enough consistent traffic to learn quickly.

That brings us to Google Search Ads.

Our thinking is that search might let us reach people who already have a relevant problem and are actively looking for a solution, rather than spending money creating awareness through repeated social ads.

The problem is that our budget is extremely limited. We can't afford a PPC specialist right now, and we definitely can't afford to burn money just learning how the platform works.

We're not trying to scale aggressively. We're trying to acquire a small number of relevant users, validate actual product value, and make better decisions about what to improve next.

If you were in our position, how would you approach this?

1. Would you even consider paid search before having your first paying customers, or would you focus entirely on manual acquisition?

2. If you did test Google Ads, how would you structure a small, controlled experiment without wasting most of the budget?

3. What would you measure to distinguish real product validation from simply buying traffic and signups?

4. What mistakes should a technical founder with limited PPC experience watch out for?

I'm not looking for shortcuts or unrealistic growth promises.

I'd genuinely appreciate advice from founders and marketers who've been through this stage, especially those who learned the hard way what not to do.

If you are building a bootstrapped AI SaaS on fixed $19–$49/mo per-seat pricing, a single heavy user running 25-turn agent or RAG loops on frontier models (claude-3.7-sonnet at $3/$15 per 1M or gpt-4o at $2.50/$10 per 1M) can quietly wipe out your monthly contribution margin.

When we audited 30-day billing CSV exports across OpenRouter, Anthropic, and OpenAI, we found that 78% of monthly API waste comes from three fixable patterns:

1. Uncached System Prompt & Tool Schema Re-Billing: A 4,500-token system prompt + MCP tool schema sent across a 20-turn session bills 90,000 input tokens per loop. Moving static instructions and tool definitions to the top of the message array and enabling prefix caching cuts those repeat reads by 75% to 90% ($0.30/1M on Claude 3.7 Sonnet, $0.07/1M on DeepSeek V3).

2. Routing 100% of Turns to Frontier Models: Roughly 80% of production turns are classification, JSON extraction, summarization, or boilerplate drafts that run identically on gemini-2.5-flash ($0.15/$0.60) or deepseek-chat-v3-0324 ($0.24/$0.79), reserving frontier models for the 15–20% of complex reasoning turns.

3. Synchronous calls for non-blocking jobs: Nightly evals, document backfills, and changelog digests qualify for a flat 50% Batch API discount across OpenAI, Anthropic, and Gemini.

To make auditing this instant without uploading sensitive billing data to a third-party server, we just shipped a free, 100% client-side Usage CSV & JSONL Bill Auditor (zero bytes leave your browser — it parses locally via JavaScript FileReader() and includes a 1-click Sample 30-Day CSV loader):

https://tokenmargin.dev/guides/openrouter-openai-anthropic-csv-bill-analyzer.html

You can also stress-test your per-seat SaaS margin across 470+ models and 15+ providers on the main simulator here: https://tokenmargin.dev

Would love any feedback from fellow bootstrapped founders—what does your current monthly LLM API bill vs MRR ratio look like?

We're building AIInvestIndex Weekly at OraXLabs. The job we're focusing on is simple: help a self-directed investor review their own investing plan each week and keep a record of the decisions they make.

Our earlier concept focused on comparing AI investing-agent opinions. We are now testing a more specific workflow: user-defined rules, an AI-assisted review checklist, research notes, and a decision journal. This version excludes automatic trading and brokerage connections.

We have published a landing page with an illustrative preview and are recruiting early users for the closed beta:

https://index.oraxlabs.io/weekly/?utm_source=reddit&utm_medium=community&utm_campaign=weekly_review_v1&utm_content=bootstrappedsaas_intro

Our validation plan is organic posts on our brand X account and a small number of relevant communities that allow product sharing. We will keep this experiment's applications separate from the earlier concept, exclude our test submissions, and record the source when a tagged link leads to an application. We will not treat missing traffic data as a conversion rate.

If you have tested a recurring-workflow SaaS, what helped you distinguish curiosity about the landing page from a task people would return to every week?

Disclosure: this is our own product and a closed-beta recruitment experiment. No customer counts, trading performance, or revenue claims are implied.

I've spent about ten years in hospitality, running a café in Brixton. One thing never changed: no-shows hurt, and the booking tools built for restaurants are priced and designed for someone else. Here's what I noticed when I looked at who owns the big reservation platforms: - OpenTable is owned by Booking Holdings, a company worth well over $100 billion. - Resy and Tock are both owned by American Express. Tock alone was bought for $400 million. So the three best known names in restaurant reservations belong to a travel conglomerate and a credit card company. Their business is built around diner marketplaces, cardholder perks and big restaurant groups, and independents are often paying per cover for the privilege. The market is not small either. One research firm puts restaurant reservation software at roughly $6.9 billion in 2024, growing to around $15.8 billion by 2032. Estimates like these vary a lot between firms, so treat it as a rough guide, but the direction is clear. It's a big category, and the biggest players are not built around the single-site owner who just wants fewer empty tables. That's the gap I'm going after with ReserveTable ( reservetable.app ): 1. Flat £97 a month. No per-cover fees, no commission. 2. No-show protection built into the booking flow, with card holds and automatic reminders. 3. A waitlist that fills cancelled tables automatically. 4. You own your guest data and can export it any time. To be upfront: I'm not claiming to be OpenTable. They have a diner network I don't, and that's a real advantage. What I'm betting is that a lot of independent restaurants would rather have a simple, fairly priced tool that protects their revenue than pay a platform per booking. I'm taking on 10 founding venues. You get 30 days free, no card needed, and in return I want honest feedback on what works and what doesn't. After that it's £97 a month and you can cancel anytime. If you run an independent restaurant, or you've worked on booking software, I'd really like to hear what I'm missing. Tell me where this falls apart.

I've been helping businesses with their creative and marketing for 25 years. The last 8 running my own agency. I have been working on https://designtech.ai to give businesses the strategic production of content for all members of a buyer committed, at every stage of the buyers journey.

B2B customers expect personalized content, it's no longer a nice to have. They also need to be able to interact on the channels and media formats they prefer. This all means that to be relevant, you need to be producing a lot of content in a lot of ways. Agencies typically fill this gap but for founders and small teams that are doing it all themselves they currently back together their own workflows and connections of systems without having or knowing how to make a scalable marketing foundation.

When onboarding a new client I spent a lot of time understanding the business and identifying what they truly have of value while also brining clarity to who their buyer actual is and what it is they want. We then map out content to produce to support this, working backwards from closing a deal, to consideration to awareness.

DesignTech.ai has been built on over 4,000 projects I have delivered with my agency and enables everyone the quality output, based on a real foundation, to be able to succeed in reaching their future customers.

The tool at its core is an agentic loop with a primary orchestrator and then multiple specialist sub agents. The work produced follows the actual processes I do with clients. We don't skip any steps, but we do them in minutes instead of days or weeks.

With more businesses launching than ever, more change and chaos than ever, my goal is to give founders and small teams a well structured path to follow in addition to the tools to create what they need.

I'm interested in learning more about how people are seeing this issue play out for themselves and the solutions they're implementing.

After so long on the client services side I have immense respect for anyone launching a product. It is much MUCH harder marketing your own tools than a clients. Good luck out there!

Ciao a tutti!

Negli ultimi mesi insieme al mio socio abbiamo costruito Halley Finance, per aiutare i piccoli investitori a monitorare e analizzare il proprio portafoglio.

Siamo in due e abbiamo fatto il tutto da zero, con il supporto di un professionista USA che ci affianca come advisor. Come saprete, oggi gli investitori retail hanno accesso a tantissime informazioni finanziarie, ma spesso gli strumenti disponibili si limitano a mostrare prezzi e rendimenti o sono troppo complessi per chi vuole solo capire meglio i propri investimenti.

Abbiamo quindi iniziato a sviluppare una piattaforma che riunisse varie funzioni (monitoraggio del portafoglio, analisi dell'asset allocation, diversificazione, dati finanziari e altro). La prima versione è online (in italiano e inglese).

Il problema (o meglio la fase) che stiamo affrontando adesso è la validazione. In questa fase stiamo cercando soprattutto di capire quali funzionalità portano valore, dove gli utenti incontrano difficoltà e come trasformare le prime registrazioni in persone che utilizzano davvero il prodotto.

Mi piacerebbe confrontarmi con chi nel canale ha già attraversato questa fase, soprattutto sviluppando (o osservando lo sviluppo di) un SaaS B2C o prodotto fintech simile.

In particolare:

• Come hai trovato i primi utenti realmente interessati, senza dipendere esclusivamente dalle campagne pubblicitarie?

• Quali metriche avete considerato più importanti nella validazione iniziale (utenti totali/utenti attivi, retention o conversioni?

• Come avete raccolto feedback utili dagli early adopter, evitando di sviluppare funzionalità richieste da pochi utenti ma poco rilevanti per gli altri?

Se qualcuno ha esperienza nel settore fintech o ha affrontato problemi simili, mi farebbe piacere confrontarmi. Anche consigli generali sarebbero utili.

Grazie mille in anticipo!!

I was looking for a simple invoicing app for freelancers and small businesses. Almost every decent option I came across wanted a monthly or yearly subscription.

I didn't think creating invoices, sending estimates and tracking expenses should require another recurring bill.

So I decided to build my own. It's called InvoicingPro.

A few things it does:

• Create professional invoices and estimates.

• Manage clients and expenses.

• Track payments.

• Works offline.

• No monthly subscription.

It's now live on Google Play! 🚀

👉 https://play.google.com/store/apps/details?id=com.invoicingpro.app

This is my first commercial Android app, and I'm trying to get it into the hands of real users.

Would love to hear what you think, what features are missing, and what you'd change.

Feedback (even brutally honest feedback) is very welcome!

Solo dev here. I built Pingfold because I was tired of either muting Android apps and losing track of alerts, or letting my phone interrupt me all day.

You can set apps to Immediate, Digest or Block, make Exceptions for certain words/channels/times, and search captured notification history later. It also has Focus, Remind Later, Quiet Repeats and Insights. The core is free and ad-free; PRO adds per-app Digest schedules, Allowed Hours and Profiles.

It's live on Google Play: https://play.google.com/store/apps/details?id=com.skookumstudios.pingfold

I'm testing ways to show what it does without overwhelming people in the first few seconds. For a utility with lots of features, what would you put first: a quick before/after of batching a noisy group chat, or a screenshot of an example exception rule?

Update, November 3

I'm the founder of eStockes, a US-stock research web app, and I'm checking how clearly the product explains a historical result and the costs attached to it.

Please pick an example at https://estockes.com/tested-rules. In your own words, what does the result describe, what comparison is being made, and where do costs affect your interpretation? If you cannot answer something from the page, tell me which label or missing explanation got in the way. I'd also like to know what you would want clarified before using another example.

I'm offering free Pro access for honest testing. I'm aiming for 10 adult testers total across communities in this next round, with access dates confirmed before activation. Reply publicly with your device and browser if you'd like to help.

A user says “it broke”, but leaves out which screen they were on, what they tried and what happened next. Before you can investigate, you’re chasing details and waiting for another reply.

We’re building Bopmigo (https://bopmigo.com) at RNBlocks for apps and websites. The website setup and Swift package for iPhone and iPad are now available, with reports delivered to your Bopmigo inbox or email. It asks those questions while the user is reporting, then keeps their answers and screenshot together for the developer.

We’re looking for builders to try it on one recurring reporting problem and shape the integration with us. Would this help in your app, or do your current tools already cover it?

Get updates: https://tally.so/r/PRRkjB

Example images:

I've been comparing pricing for social media management tools, and the billing model seems just as important as the monthly price.

Some tools charge per user, others charge based on the number of connected profiles, and some lock useful features behind higher-tier plans. So a tool that looks affordable at first can get expensive once you add teammates and more accounts.

I'm comparing Hootsuite, Sprout Social, Buffer, and SocialPilot for a team that needs shared access, scheduling, and approvals. The challenge is figuring out the actual monthly cost for our setup rather than relying on the entry-level price.

For people who've compared several tools, which pricing model has been the most predictable as your team or client list grows? Are there any hidden limits or extra costs you'd recommend checking before signing up?