@daicandev · X

Building proven, the tool that gets your product from idea to growing income

u/Budget_Lawfulness_33 · Reddit

I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https

@MourynCher16712 · X

data analysis app. Check out

@ImFabien · X

- feedback management and suggestion box with built-in churn insights for SaaS teams.

@PabloDevelops · X

making investmens easy

u/SnooStrawberries827 · Reddit

my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back

@grademyfinance · X

@heysidhant · X

u/Ok-Swordfish8153 · Reddit

Built and launched my first app, but struggling to scale it or even get users. Give up or keeping trying? I launched Kora ( https://followkora.com ) in June. The idea was to take previously awarded contract spending, which is public but a bit of a headache to sift through, and make it it easily searchable/interesting and use AI to show how each contract affects the industry, hiring, supply chain, etc. I have no prior experience with this stuff specifically, but I thought I made soemthing g

@YashSha06255909 · X

u/Baconvation · Reddit

Built a tool that scores NYC apartments/blocks using public 311 complaint data Excited to share what my team and I built at the NYPL AI Hackathon: Streetwise. If you've ever searched for an apartment in NYC, you know the feeling: a listing photo tells you nothing about whether the heat actually works in January, whether the block has loud noises at 3am, or whether the building has a history of plumbing nightmares. That information exists, it's just buried in millions of rows of NYC's public

@wahedsikder · X