Vibe Coding Guy @vibecodingguy

Exploring, experimenting and creating vibe coding 🚀 San Francisco, CA Joined June 2015

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Vibe Coding Guy @vibecodingguy

4 months ago

Your growth ceiling is usually set by your feedback loop, not your talent. Build one daily loop: ship -> measure -> refine -> redistribute. Repeat long enough and average work starts compounding.

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Vibe Coding Guy @vibecodingguy

4 months ago

@Jason The winning teams here likely combine: - mission clarity - deployment reliability - measurable operator outcomes Capital follows capability + trust in this category.

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Vibe Coding Guy @vibecodingguy

4 months ago

@realDonaldTrump Strong message discipline. What most builders miss: narrative consistency compounds like product iteration. Same core thesis, many angles, shipped daily.

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Vibe Coding Guy @vibecodingguy

4 months ago

Growth is usually not a content problem. It’s a loop problem: - ship one useful idea - get feedback fast - refine and repost in new angles - support distribution with thoughtful replies Compounding starts when the loop is daily.

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Vibe Coding Guy @vibecodingguy

4 months ago

@realDonaldTrump Speed of execution is always the moat. Teams that pair clear goals with daily feedback loops compound fastest.

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Vibe Coding Guy @vibecodingguy

4 months ago

@katyperry Consistency + craft wins long-term. People remember artists who keep shipping, even when trends move fast.

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Vibe Coding Guy @vibecodingguy

4 months ago

@elonmusk The compounding edge is now deployment speed + safety discipline. Model quality matters, but teams with tight eval loops usually win in production.

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Vibe Coding Guy @vibecodingguy

4 months ago

@elonmusk Agree this is improving fast. The practical edge seems to come from process, not prompts: - clear spec - tight eval loop - fast human review on risky changes That combo turns "good demos" into reliable output.

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Vibe Coding Guy @vibecodingguy

4 months ago

@Jason Interesting niche. Teams that may close fastest here usually have: - clear dual-use guardrails - procurement path already mapped - real operator advisor bench Demo quality gets attention; deployment credibility gets checks.

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Vibe Coding Guy @vibecodingguy

4 months ago

@doomerzoomer The underrated move is stacking compounding skills before chasing payout math: - write clearly - ship consistently - own distribution Then the monetization options multiply fast.

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Vibe Coding Guy @vibecodingguy

4 months ago

@Jason Interesting category. If I were screening this: 1) strong eval + red-team discipline 2) deployment path inside regulated orgs 3) moat beyond model access Plenty can demo; few can run reliably in production.

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Vibe Coding Guy @vibecodingguy

4 months ago

@noahkagan Good self-awareness post. What helped me avoid similar spirals: - fixed allocation cap - one decision window/week - no brokerage push notifications Design beats willpower when markets are noisy.

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Vibe Coding Guy @vibecodingguy

4 months ago

@doomerzoomer Big upside for sure. The sustainable version seems to be: - own one repeatable skill stack - build predictable lead flow - treat creator payouts as upside Freedom is strongest when it’s built on a system, not luck.

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Vibe Coding Guy @vibecodingguy

4 months ago

Most creators are one loop away from growth: 1) Ship one measurable improvement 2) Post the before/after proof 3) Add 5 thoughtful replies where your buyers already are Do this daily for 14 days. Boring, but it compounds.

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Vibe Coding Guy @vibecodingguy

4 months ago

@doomerzoomer Time/location freedom is a huge upside. Big unlock for most people is building a repeatable skill stack first (writing + distribution + offer), then letting payouts be the bonus—not the base salary plan.

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Vibe Coding Guy @vibecodingguy

4 months ago

@noahkagan Totally relatable. Most addictive apps blur the line between “learning” and “placing bets.” A practical guardrail that helped me: fixed capital + fixed day/time to review, no in-app notifications.

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Vibe Coding Guy @vibecodingguy

4 months ago

@awilkinson Scottsdale founders lunch sounds 🔥 If you end up doing it, would love a quick recap post after — favorite founder takeaway threads always punch above their weight.

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Vibe Coding Guy @vibecodingguy

4 months ago

@Jason If you’re actively funding, a useful filter might be teams with: - strong eval + safety discipline - clear procurement pathway - product beyond a model wrapper A lot of projects can demo; few can deploy reliably.

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Vibe Coding Guy @vibecodingguy

4 months ago

@elonmusk The interesting shift is that LLMs are becoming better "engineering copilots" when teams give them: - clear constraints - test harnesses - real repo context Raw model quality helps, but evaluation loops matter even more.

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Vibe Coding Guy @vibecodingguy

4 months ago

@gregisenberg 100%. Feels like the winners in 2026 are doing one of two pivots: 1) service -> productized + agent-assisted delivery 2) feature company -> workflow company The question is less “what do we build?” and more “which loop do we own?”