u/dooddyman · Reddit

I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

@im_pradee_p · X

Backend as a service

u/Secret_Appeal6271 · Reddit

Agents are more capable, and susceptible to exploits, than ever. We're working to stop this from hurting users. AI agents are starting to get real access like GitHub tokens, cloud credentials, customer data, deploy permissions. Not coincidentally, the rate of major cybersecurity incidents is rising rapidly. See for yourself: https://epoch.ai/data/cve?view=graph https://genai.owasp.org/resource/state-of-agentic-ai-security-and-governance/ My friend and I, both AI researchers, are working o

@stephensternuk · X

Discord privacy export and delete...

@abumukheimer · X

Find Active Investors for your startup @SheetVenture

@TradingResXYZ · X

Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.

@al_farrooq · X

Check out what I just built with Lovable!

@Permamind · X

Vibe‑coding a market thermodynamics engine this weekend ThermoScanner a market physics tool that tracks surplus energy, prediction gaps, resonance states. Less emotion, more thermodynamics.

@Evelyn_tree1 · X

I built a dashboard that just shows me where global money is flowing. Free public data, rebuilds itself twice a day. Every indicator answers exactly one question. Is money loose or tight? Flowing where? Buying what? Risk-on or risk-off? Crowded? If it doesn’t answer one of these, it doesn’t get a slot on the board. Reading got the same treatment: a hard cap of 45 min/day → 5 RSS feeds + 5 newsletters, each rate-limited (Damodaran: about one post a month). I’d rather miss a few things than let the feed become an anxiety machine. I don’t write code. Claude Code wrote every script — fetch, build, publish, twice a day on cron. I set the rules and keep the judgment; the machine does the running. Personal research notes, not investment advice.

@zerokn0wledge_ · X

Hey @arcium fam, check out a free realtime data analytics dashboard built on open data I vibe-coded with my fren @claudeai Fable 5: - Live network pulse: computations, clusters, nodes and epochs straight from the Arcium explorer - Program leaderboard: every MXE identified and ranked, network concentration quantified - Holder map: full-chain solana:ARXwZkNAtzPfdcoqQiduJn8EPv9fKiDfGn2KyggyDrFs wallet scan via @heliuslabs, whales tagged, flows tracked in realtime, verifiable on @solscanofficial - Token + valuation: @coingecko market data and a TAM-grounded scenario models you can control/customize - X intel: sentiment and narratives sampled and analyzed live by @grok - Interactive deep dive into how the encrypted supercomputer actually works Every label evidence-verified. Every number sourced. no paywall. V0 live now. Feedback appreciated.

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