saas founded in 2026 — r/SaaS

By Tomáš Cina, CEO at Discury · AI-assisted research, human-edited

Editor's Take — Tomáš Cina, CEO at Discury

What strikes me reading these threads is how often founders blame the "AI bubble" for their lack of traction, when the real issue is a lack of customer proximity. In our work at Discury, we see a recurring pattern: the most successful projects are not the ones using the latest LLM wrappers, but the ones solving boring, high-friction administrative tasks. The "SaaS is dead" narrative has been a recurring headline since 1999, yet the model persists because it solves the fundamental problem of maintenance and uptime for non-technical businesses.

The second trap I see is the "build-first" mentality. Founders still spend weeks on product architecture before securing a single paying user. We see this across our audits: the founders who treat their early-stage SaaS as a "manual service" first—handling data entry or client outreach by hand—are the ones who actually understand the product-market fit. If you aren't doing the work manually, you aren't building a product that solves a real problem; you're just building a toy.

If I were starting a B2B SaaS today, I would skip the "AI agent" pitch entirely. I’d find a category on G2 with 1–2 star reviews, identify the specific feature users are begging for, and offer to fix that bottleneck manually for a small group of customers. The revenue you generate from the manual service is your true validation. the founders in this sample invert this, building the tool before the demand is proven, and that is why they fail. The real opportunity isn't in new shiny industries, it’s in fixing revenue leaks in existing workflows.

SaaS Founded in 2026: Why Boring Beats AI

One founder in a recent r/SaaS thread argued that the "SaaS is dead" narrative is a recurring cycle that ignores the reality of infrastructure maintenance. While AI agents dominate the headlines, the Hacker News discussion on SubImage demonstrates that real value is being captured in security and infrastructure mapping, where users pay for reliable, hosted outcomes rather than experimental features. Another r/Entrepreneur thread highlights that the loudest categories are rarely the best; instead, software opportunities exist in "boring" workflows like procurement, field service, and maintenance operations where money already moves through spreadsheets and email.

The "Sell 10 or Drop It" Rule for SaaS Founders

One founder who hit $9k MRR in 12 months reported in an r/SaaS thread that their biggest mistake was building features from "shower thoughts" instead of validating demand. The most effective strategy in 2026 is to skip the code entirely: run the service manually using scripts or spreadsheets, and only automate once the "manual grind" hurts enough to justify a tool. This approach forces immediate validation; if a customer complains about the manual output, you know exactly what the product needs to fix. As noted in a recent r/Entrepreneur thread, the founders of a lead-generation tool manually cleaned Excel files for months, proving that "if people pay for the result, then you’ve got something worth scaling."

When to Switch to EU-Based SaaS Tools

One founder in a recent r/startups thread detailed the financial and regulatory rationale for migrating away from US-based incumbents like Intercom and Mailchimp. By switching to alternatives like Crisp and Brevo, this founder found that navigating GDPR and tariff unpredictability became a competitive advantage rather than a compliance burden. The Hacker News discussion regarding Stytch further underscores that security practices are a core component of the SaaS stack, noting that even $1bn+ unicorns can face scrutiny over API vulnerabilities like a lack of CRSF-protection. Founders must audit their stack for both compliance and security, as these "hidden" operational costs often outweigh the convenience of the market-leading tool.

How this analysis was assembled

This analysis draws on seven r/SaaS, r/startups, and r/Entrepreneur threads. Threads were surfaced using Discury.

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