Ive decided to build Hyper X Ultra a startup to help twitter users grow their audience (in terms of following, impressions, engagements) and to help founders find their target audience on X since it isnt exactly easy to do so for niche problems effectively.

Which authentication provider will you choose?

No denies this was the best IDE back in the day, but do you still use it?

Be honest Whats the most under rated AI service out there?

In 2026, Is there a the point to building a SaaS when folks with audiences 10 times your size can easily vibe code the same thing you just did?

Unpopular opinion: The vibes wont take you far as a Vibe Coder at 3AM when a bug causes your server to crash for reasons beyond your comprehension.

Whats the best way to learn new tech? - YouTube videos - Docs - Projects - Vibe coding

Which trait is more rewarding for a founder to have? - Smart - Helpful

Can anyone explain why software engineering job interviews are significantly harder than the actual job?

Which database are you using for your product? - Supabase - Postgres - Firebase - MongoDB

Who do you think eventually wins? The whale or the Sun? The best Ai model in the east or the best ai model in the west in terms of market share in the long run?

Real talk: Can a solo founder, or rather has any-one actually vibe coded a million dollar ARR SaaS to date?

is this really the best DBaaS out there?

Which is best for vibe coders?

With Ai soon reaching RSI , where the Ai is itself upgrading its own intelligence or rewriting its own code without human intervention perfectly, do Ai engineers themselves have job security? Or will they too be at risk after they've wiped out most SE jobs?

The cost of AI tokens has come down by 80% in the last three years. OpenAI Flagship Tier (GPT-4 in 2023 → GPT-5.5 Standard in 2026) Input Price Drop: 91.7% reduction (From $30.00 down to $2.50 per 1M) Output Price Drop: 75.0% reduction (From $60.00 down to $15.00 per 1M) Anthropic Flagship Tier (Claude 3 Opus in 2024 → Claude 4.7 Opus in 2026) Input Price Drop: 66.7% reduction (From $15.00 down to $5.00 per 1M) Output Price Drop: 66.7% reduction (From $75.00 down to $25.00 per 1M) Google Flagship Tier (Gemini Ultra 1.0 in 2024 → Gemini 2.5 Pro in 2026) Input Price Drop: 82.1% reduction (From $7.00 down to $1.25 per 1M) Output Price Drop: 52.4% reduction (From $21.00 down to $10.00 per 1M) How much further do you think itll continue to drop in the next 3 years?

Anyone have idea how these IDE generating revenue? - vs code - eclipse - intelliJ IDEA - pyCharm - netBeans

Which Database as a Service is best for founders?

Real talk: Is agentic coding really that good or is it all just hype?