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p/self-promotion
by
Debarghya Roy
•
2mo ago
Nuwtonic Agentic SEO/GEO/AEO/AIO : When SEO & AI Visibility Break, What Actually Fix It ?
... connects directly to GSC and runs real-time analysis across 50+ SEO aspects: Top Page and Query Performance Top Mover Delta Analysis Growth and Decay Analysis Performance Trends Rank Disparity Analysis CTR Uplift Analysis Impression and CTR Segmentation Brand
vs
. Non-Brand Performance Cannibalization Analysis Topical Cluster Performance Device
Parity
0
1
p/vibecoding
by
Max Musing
Featured
•
2mo ago
We paid $25k for our website. I vibe-coded a new one in 2 days.
... then pointed the AI at all the other pages and told it to propagate. Lots of iteration later and it was done. The $25k comparison is the clickbait version of this story. The real value was after we hit
parity
with the old site. The first thing I did was build a new page showcasing our embedded BI feature. This alone will probably close us $25k in new MRR this month. Then we knocked out a bunch of SEO, accessibility ... ... concern. Maybe mention your fact-checking process? Not clear if it's AI-generated or human-curated - that affects trust. Comment from Curtis Swick(@curtis_swick): The part that resonated most: building the new feature page right after hitting
parity
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32
p/general
by
Kalo Yankulov
•
7mo ago
My startup made $2M before I sold it. Here are 16 things I learned
... took us 3+ years to reach meaningful traction, and we were making $2k MRR in the first 2 years. Unfortunately, there's no formula to know whether you are on the right track or running a zombie. Sunk cost
vs
. strategic persistence. You bet with your time. 9. SaaS multiples are often fantasy, especially for smaller businesses. If you are below $1M ARR and/or have no aggressive growth potential, do not expect 7-12x multipliers. 10. Lifetime deal buyers ... ... stayed profitable by being super frugal. This wasn't just about bootstrapping, it forced us to focus on what actually moved the needle. 14. Technical complexity doesn't guarantee success Building more features, next feature fallacy, reaching feature
parity
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