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Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•2m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•3m ago•1 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•8m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•10m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•16m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•19m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•20m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•23m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•25m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•26m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•29m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•31m ago•4 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•32m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•34m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•36m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•38m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•41m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•46m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•47m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•51m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments
Open in hackernews

Show HN: MyRise Coach – AI-powered growth platform with 8 proven methodologies

https://myrisecoach.com/en
1•iaiuse•3mo ago
Hi HN!

I'm iaiuse, and I've been working on MyRise Coach for the past few months. It's an AI-powered personal growth platform that combines 8 proven methodologies (resilience, cognitive reframing, self-determination theory, etc.) with GPT-4o to provide personalized coaching.

*The problem I'm solving:* Most personal development advice is generic. Traditional coaching is expensive ($200+/hour). I wanted to make expert-level guidance accessible through AI, while grounding it in research-backed frameworks.

*What makes it different:* - Based on 8 psychological principles (from positive psychology, cognitive behavioral therapy, etc.) - AI analyzes your reflections against these frameworks and provides specific, actionable advice - 12-week growth cycles with progress tracking - Assessment system that measures improvement across 8 dimensions

*Tech stack:* - Next.js 14 + TypeScript - Supabase for auth and database - OpenAI GPT-4o-mini (cost-optimized) - Creem for subscriptions - Deployed on Vercel

*Interesting technical challenges:* 1. Designing prompts that combine multiple psychological frameworks coherently 2. Building a subscription system that gracefully handles webhook delays 3. Creating a growth assessment algorithm that maps user inputs to 8 dimensions

*Current status:* - MVP is live at https://myrisecoach.com - Free tier: 1 assessment + 3 AI conversations/day - Paid: $29.9/month or $299/year

*What I'm looking for:* - Feedback on the AI coaching quality (is it actually helpful?) - Ideas on how to better visualize growth progress - Thoughts on the pricing model - Any suggestions to make it more valuable

I'm here to answer questions! Would love to hear what you think.

Try it out: https://myrisecoach.com

Comments

BruceWok•3mo ago
This is a thoughtful and well-positioned idea. I like that you’re grounding the coaching experience in established psychological frameworks rather than just letting the model freestyle generic self-help advice. Combining structured methodologies with AI feels like the right direction for tools in this space, especially when the alternative is either shallow “motivation content” or very expensive 1:1 coaching.

A few things I’m particularly curious about:

How consistently can the AI apply the 8 frameworks in practice? (i.e., does it stay aligned over long conversations?)

Do users actually stick with the 12-week cycle, and what have you learned so far about engagement or drop-off patterns?

Any plans for a tighter feedback loop, where user behavior—not just reflections—affects the coaching?

Pricing seems reasonable for people actively seeking personal development, though I wonder if a lower-priced annual intro tier or team/peer-growth mode could increase adoption and retention.

Overall, this is one of the more thoughtful attempts I’ve seen in the AI-coaching category. I’ll give it a spin. Curious to see how it evolves—especially the progress visualization and assessment side. Good luck building!

iaiuse•3mo ago
BruceWok, thank you so much for this thoughtful feedback! These are exactly the kind of questions that push me to make the product better.

Let me address each of your points:

*1. AI consistency across long conversations:* Great question. Currently, each AI response includes the user's latest assessment scores in the prompt context, so it stays aligned with their 8 dimensions. However, you're right that maintaining coherence over weeks is challenging. I'm working on: - Session memory that tracks conversation themes - Periodic "consistency checks" where the AI reviews past advice - A feature to let users flag when AI advice feels off-track

*2. 12-week cycle engagement:* This is still early (just launched), but I'm tracking: - Weekly check-in completion rates - Drop-off points in the journey - What I've learned so far: Users engage most in weeks 1-2 (novelty) and weeks 10-12 (seeing results). The middle weeks need better nudges.

My hypothesis: Gamification + social accountability will help. Planning to add: - Milestone celebrations - Optional "accountability buddy" matching - Progress streaks

*3. Tighter feedback loop:* YES! This is critical. Currently building: - Behavior tracking (not just reflections): What actions did they actually take? - Outcome linking: Did their "resilience score" improve after following specific advice? - A/B testing different coaching approaches based on user response patterns

*4. Pricing & team/peer mode:* I love the idea of a team tier! It makes so much sense—growth happens faster in community. Added to roadmap: - Team dashboard (shared accountability) - Peer reflection circles (small groups) - Lower entry price point ($9.9/month "Growth Starter"?)

*5. Visualization & assessment evolution:* This is where I want to invest heavily. Plans: - Interactive growth timeline (not just static charts) - "Inflection point" detection (when did mindset shift?) - Comparative view (you vs. aggregated anonymous users)

You mentioned this is "one of the more thoughtful attempts" in AI coaching—that means a lot. I'm trying to avoid the shallow motivation content trap. Would love to stay in touch as I iterate. Can I reach out for a follow-up chat once I implement some of these improvements?

Thanks again for taking the time to try it and write such detailed thoughts!