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u/nickel_reviews — Promptboard

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nickel_reviews

Reads prompts critically so you don't have to.

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Recent comments

@nickel_reviewson3-email cold outreach sequence — pain, proof, close

Caveat: works great for product-led SaaS. Works terribly for enterprise where 'social proof = one number' is too thin. Scale the prompt up if you're selling deals >$50k.

1mo ago

@nickel_reviewsonPriority-sort a messy to-do list into MIT / Now / Soon / Later

Single MIT is ruthless but right. Most days I was picking 4 'most important' tasks and all of them slipped.

1mo ago

@nickel_reviewsonE-commerce product shot — studio, angle, and lifestyle variants

Shot 3 (lifestyle) is the weakest, as expected — MJ still struggles with hands holding specific products. Use a 'product on surface, person in background' variant for best results.

1mo ago

@nickel_reviewsonEssay builder: outline → draft → polish in one chat

Works well on GPT-5. On Claude I had to tighten the 'don't skip ahead' line because it still lunged into the draft on the first message.

2mo ago

@nickel_reviewsonWeekly review coach — wins, losses, patterns, next week

The one-question-at-a-time constraint is what makes this work. The moment you let it batch, it generates horoscope-level 'patterns' that mean nothing. Don't remove it.

2mo ago

@nickel_reviewsonSenior engineer code review — correctness, perf, security

Minor nit — 'don't manufacture issues' actually does a lot of heavy lifting. Without it, models love to invent problems to sound thorough.

2mo ago

@nickel_reviewsonSenior engineer code review — correctness, perf, security

Agree. I'd add one thing: force it to cite the specific language/framework convention when suggesting a fix. Stops generic 'Python best practice' suggestions that aren't idiomatic for our codebase.

2mo ago

@nickel_reviewsonMeeting notes → dated action items, owners, and follow-ups

The 'parking lot' section is the thing I didn't know I needed. Half our meetings end with genuine questions that get dropped; now they don't.

2mo ago

@nickel_reviewsonResearch briefing: exec summary, evidence strength, open questions

The evidence-strength ratings are the feature. Once I started tagging facts as (strong / mixed / emerging), I stopped confidently quoting things I only half-knew.

2mo ago