Other1 week ago
Shove (shove.lol) — pay-to-rank leaderboard
Shove (shove.lol) is a public pay-to-rank leaderboard. Paste a URL, pay in whole dollars, and sit on the board. You pay more, you shove them off #1.
@umar_who_code · X
Yes checkout and
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Shove (shove.lol) is a public pay-to-rank leaderboard. Paste a URL, pay in whole dollars, and sit on the board. You pay more, you shove them off #1.
@umar_who_code · X
Yes checkout and
Back your side in community battles where headcount decides the winner.
@imrishabsharma · X
Just launched! People already backing their side. Get your product listed. We plant a tree per vote. Pick your side at #BuildInPublic
Send follow-up reminders that automatically escalate from professional to firm to urgent tone.
@whyamas · X
launched you describe who you need to chase (overdue invoice, unanswered proposal, stalled approval) and it writes the message and keeps going until you get a reply. tone shifts from professional to firm to urgent on its own.
The complete landing page optimization platform. Conversion analysis, AI search scoring (AEO/GEO), competitor intel, and implementation-ready fixes — all backed by real Google Page
@ShipWithMD · X
I am building fully AI powered website analysis product which roast your landing pages
Analyze football markets with pressure graphs and backtest trading strategies.
@KSertttttttt · X
Claim your rank on a permanent, ad-free leaderboard and earn backlinks.
@RealRandomTask · X
check it, flex your projects for just $5 and vote in the poll to decide on how we return revenue to users!
Prepare for tech interviews with DSA, system design, and company-specific guidance for placement rounds.
@nomadicinfra · X
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
Stop letting AI write generic resume fluff. ResuCaliber's 54 prompt library builds precise, ATS-ready bullet points you can defend in interviews.
@ResuCaliber · X