Sober Group Forums: Recovery Support and Community Discussion - Home https://forums.sobergroup.com/ en Fri, 10 Apr 2026 08:34:39 GMT vBulletin 60 https://forums.sobergroup.com/images/misc/rss.png Sober Group Forums: Recovery Support and Community Discussion - Home https://forums.sobergroup.com/ Selecting a Date Range in CSS https://forums.sobergroup.com/forum/services/website-development/17696-selecting-a-date-range-in-css Fri, 10 Apr 2026 01:56:13 GMT

Selecting a Date Range in CSS originally published on CSS-Tricks, which is part of the DigitalOcean family. You should get the newsletter.



More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17696-selecting-a-date-range-in-css How to Build an Online Marketplace with Next.js, Express, and Stripe Connect https://forums.sobergroup.com/forum/services/website-development/17695-how-to-build-an-online-marketplace-with-next-js-express-and-stripe-connect Fri, 10 Apr 2026 01:56:13 GMT Have you ever wondered how platforms like Etsy, Uber, or Teachable handle payments for thousands of sellers? The answer is a multi-vendor... Have you ever wondered how platforms like Etsy, Uber, or Teachable handle payments for thousands of sellers? The answer is a multi-vendor marketplace: an application where merchants can sign up, list


More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17695-how-to-build-an-online-marketplace-with-next-js-express-and-stripe-connect How to Build Reliable AI Systems. https://forums.sobergroup.com/forum/services/website-development/17694-how-to-build-reliable-ai-systems Fri, 10 Apr 2026 01:56:13 GMT We've all been there: You open ChatGPT, drop a prompt. "Extract all emails from this sheet and categorize by sentiment." It gives you something close. You correct it, it apologizes, and gives you a ne


More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17694-how-to-build-reliable-ai-systems CUDA Programming for NVIDIA H100s https://forums.sobergroup.com/forum/services/website-development/17693-cuda-programming-for-nvidia-h100s Fri, 10 Apr 2026 01:56:13 GMT Learn CUDA programming for NVIDIA Hopper GPUs. We just posted a course on the freeCodeCamp.org YouTube channel that will teach you to build efficient... Learn CUDA programming for NVIDIA Hopper GPUs. We just posted a course on the freeCodeCamp.org YouTube channel that will teach you to build efficient WGMMA pipelines and leverage Cutlass optimizations


More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17693-cuda-programming-for-nvidia-h100s OpenVid: The Open-Source Studio to Create Cinematic Demos in Your Browser https://forums.sobergroup.com/forum/services/website-development/17692-openvid-the-open-source-studio-to-create-cinematic-demos-in-your-browser Fri, 10 Apr 2026 01:56:13 GMT Creating professional product demos shouldn’t require a steep learning curve or heavy desktop software. Meet OpenVid, an open-source video editor...

👉 Try it now: https://openvid.dev


Everything happens directly in your browser. No installs, no complex timeline, just pure, cinematic results.




More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17692-openvid-the-open-source-studio-to-create-cinematic-demos-in-your-browser A simple React hook for running local LLMs via WebGPU https://forums.sobergroup.com/forum/services/website-development/17691-a-simple-react-hook-for-running-local-llms-via-webgpu Fri, 10 Apr 2026 01:56:13 GMT Running AI inference natively in the browser is the holy grail for reducing API costs and keeping enterprise data private. But if you’ve actually...

You have to manually configure WebLLM or Transformers.js, set up dedicated Web Workers so your main React thread doesn't freeze, handle browser caching for massive model files, and write custom state management just to track the loading progress. It is hours of complex, low-level boilerplate before you can even generate a single token.


I got tired of configuring the same WebGPU architecture over and over, so I wrapped the entire engine into a single, drop-in React hook: react-brai.


Initialize the engine. The hook automatically handles Leader/Follower negotiation based on multiple active tabs.






import { useLocalAI } from 'react-brai';

export default function Chat() {
const { loadModel, chat, isReady, tps } = useLocalAI();

useEffect(() => {
loadModel('Llama-3.2-1B-Instruct-q4f16_1-MLC');
}, []);

return div>Speed: {tps} T/sdiv>
}







Now just use the loaded model liek this,






const response = await chat([
{ role: "system", content: "Output JSON: { sentiment: 'pos' | 'neg' }" },
{ role: "user", content: "I love this library!" }
]);
const data = JSON.parse(response);







It abstracts away the web worker delegation, the model caching, and the memory constraints. You just call the hook, pick a quantized SLM (like Llama-3B), and start generating text or extracting JSON.


The Browser Cache

Let me be brutally honest, This is not for lightweight, general-purpose landing pages. react-brai requires the user to download a ~1.5GB to 3GB model into their local browser cache on the first load.


But for high-profile, niche use cases, that initial heavy download is an incredibly cheap price to pay.


Where this actually makes sense
  • Heavy B2B Dashboards: The user logs in daily. They eat the download cost once, and forever after, their inference is instant and offline.
  • Enterprise Data Privacy: When strict rules prevent you from sending customer data to OpenAI, local WebGPU inference is your only secure option.
  • Automated JSON Extraction: Constantly formatting and extracting JSON from large datasets without burning through API tokens.


Try it out

I’ve published the package on NPM and set up a live playground. I’d love for fellow React devs to test the implementation and let me know how the memory management handles on your hardware.


NPM: https://www.npmjs.com/package/react-brai


Live WebGPU Playground: https://react-brai.vercel.app




More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17691-a-simple-react-hook-for-running-local-llms-via-webgpu Experience Engine: AI Memory That Shrinks As Your Agent Learns https://forums.sobergroup.com/forum/services/website-development/17690-experience-engine-ai-memory-that-shrinks-as-your-agent-learns Fri, 10 Apr 2026 01:56:13 GMT Every AI coding session, my agent made the same mistakes. DbContext as singleton — state corruption, 15 minutes debugging. Again. ILogger...

DbContext as singleton — state corruption, 15 minutes debugging. Again. ILogger instead of IMLog — lost tenant context. Again. Wrong project reference path — build fails. Again.


I had 500 memory notes. My agent was still a junior with a bigger notebook.


So I built something different.


The Problem With AI Memory

Every AI memory tool — Mem0, Letta, Zep — stores facts. More sessions = more entries = more tokens = more cost. They're giving your agent a bigger notebook.


But here's the thing: a notebook doesn't make you experienced.


A junior developer with 500 notes is still a junior. A mid-level developer with 15 principles understands why things work. The difference isn't how much you remember — it's whether you can generalize.






Junior (500 notes):
"DbContext singleton caused bug"
"HttpClient singleton caused leak"
"SmtpClient singleton caused corruption"
→ Encounters RedisConnection singleton → NO MATCH → makes the mistake

Mid-level (1 principle):
"Stateful objects must be scoped, never singleton"
→ Encounters RedisConnection singleton → MATCHES → avoids the mistake







That's what Experience Engine does. It doesn't store more facts. It evolves facts into principles, then deletes the facts.


How It Works

When you code with any AI agent (Claude Code, Gemini CLI, Codex CLI), Experience Engine runs silently in the background:


Before every Edit/Write/Bash:

A hook queries the experience store: "Have I seen this mistake before?" If yes, it injects a warning directly into the agent's context:






⚠️ [Experience - High Confidence (0.85)]: Stateful objects must be
scoped, never singleton. Last time SingleInstance caused state
corruption in DbContext.







The agent reads this warning and avoids the mistake. No human intervention needed.


After every session:

An extractor scans the session transcript for mistake patterns:
  • Retry loops (same tool call 3+ times)
  • User corrections ("no, not that", "wrong", "undo")
  • Test fail → fix cycles
  • Git reverts


Each detected mistake gets extracted into a structured Q&A entry and stored in a vector database.


Weekly (automatic):

The evolution engine runs:

  1. Promote: entries confirmed 3+ times move from cache → behavioral rules
  2. Abstract: clusters of 3+ similar entries → one general principle
  3. Demote: entries ignored 3+ times get deprioritized
  4. Archive: entries unused for 90 days get cleaned up


The result: memory shrinks as capability grows.

The 4-Tier Architecture




T0 Principles (~400 tokens) — generalized rules, always loaded
"Stateful objects must be scoped, never singleton"

T1 Behavioral (~600 tokens) — specific reflexes, always loaded
"WHEN DbContext + DI → MUST check lifetime FIRST"

T2 QA Cache (semantic) — detailed Q&A, retrieved on match
Q: "Why not singleton?" → A: "State corruption across requests"

T3 Raw (staging) — unprocessed mistakes, TTL 30 days

Lifecycle: T3 → extract → T2 → promote (3x confirmed) → T1
→ generalize (cluster 3+) → T0
Memory SHRINKS as capability GROWS





What Makes This Different

Over time Entries grow forever Entries grow forever Entries grow forever Entries shrink into principles
Novel cases Only exact matches Only exact matches Only exact matches Principles generalize
Mistake learning No No No 5 detection patterns
Dependencies Python + SDK PostgreSQL PostgreSQL Zero (Node.js built-in)
Local-first Optional Optional Partial Default
Data ownership Cloud vendor SaaS terms Cloud vendor You own everything

Experience Graph

Experiences aren't isolated entries — they're linked with typed edges:






DbContext singleton ──generalizes──→ "Stateful objects: always scoped"
──relates-to───→ HttpClient singleton
──supersedes───→ [old] "Use transient for DbContext"
──contradicts──→ [demoted] "Singleton is fine for DbContext"







When one experience matches your current action, the engine follows edges to surface related experiences too. This is how it catches RedisConnection singleton — not because it's seen Redis before, but because it's connected to the principle about stateful objects.


Temporal Reasoning

Knowledge evolves. What was true in January might be wrong in March:






January: "Use singleton for HttpClient" (confirmed 5x)
March: "Use IHttpClientFactory instead" (contradicts January)
→ January entry superseded, not deleted
→ March entry ranks higher (recent confirmation)
→ GET /api/timeline?topic=httpclient shows the evolution







The engine tracks confirmedAt[] arrays — not just "what was learned" but "when it was last confirmed." Stale knowledge gets penalized. Recent confirmations get boosted.


REST API

Everything is accessible via HTTP — not just CLI hooks:






# Start the server
node server.js
# Experience Engine API running on http://localhost:8082

# Check health
curl localhost:8082/health

# Query experience before a tool call
curl -X POST localhost:8082/api/intercept \
-H "Content-Type: application/json" \
-d '{"toolName":"Write","toolInput":{"file_path":"s rc/Startup.cs"}}'

# Response:
{
"suggestions": "⚠️ [High Confidence (0.85)]: Stateful objects must be scoped",
"hasSuggestions": true
}

# Trigger evolution
curl -X POST localhost:8082/api/evolve
# {"promoted":2,"abstracted":1,"demoted":0,"archived ":3,"success":true}

# View stats
curl localhost:8082/api/stats?since=30d

# Knowledge timeline
curl "localhost:8082/api/timeline?topic=dependency+injection"

# Experience graph
curl "localhost:8082/api/graph?id=abc-123"







10 endpoints total. Zero dependencies — uses Node.js built-in http module. CORS enabled for browser extensions.


Python SDK





from muonroi_experience import Client

client = Client("http://localhost:8082")

# Query experience
result = client.intercept("Write", {"file_path": "app.py"})
if result["hasSuggestions"]:
print(result["suggestions"])

# Extract lessons
client.extract("Agent tried singleton for DbContext, caused corruption...")

# Trigger evolution
evolution = client.evolve()
print(f"Promoted: {evolution['promoted']}, Abstracted: {evolution['abstracted']}")

# Check stats
stats = client.stats(since="7d")
print(f"Mistakes avoided: {stats['suggestions']}")

# View knowledge timeline
timeline = client.timeline("dependency injection")
for entry in timeline["timeline"]:
status = "[superseded]" if entry["superseded"] else ""
print(f" {status} {entry['solution']}")







Zero dependencies — uses Python stdlib urllib. Python 3.8+.


Multi-User Support

Multiple developers on the same machine get isolated stores:






EXP_USER=alice node server.js # Alice's experiences
EXP_USER=bob node server.js # Bob's (completely isolated)







Share principles without sharing personal data:






# Alice shares a principle she evolved
curl -X POST localhost:8082/api/principles/share \
-d '{"principleId": "abc-123"}'
# Returns portable JSON — no personal data included

# Bob imports it
curl -X POST localhost:8082/api/principles/import \
-d '{"principle":"Stateful objects must be scoped","solution":"...","confidence":0.85}'
# Bob's evolution engine manages it independently from here







Quick Start (5 minutes)





git clone https://github.com/muonroi/experience-engine.git
cd experience-engine
bash .experience/setup.sh --local # Docker Qdrant + Ollama (100% free)







The setup wizard handles everything. After setup, your agent starts learning automatically through hooks.


Supported providers

You're not locked to Ollama. The engine supports:


Embedding: Ollama, OpenAI, Gemini, VoyageAI, SiliconFlow, or any OpenAI-compatible API


Brain (extraction): Ollama, OpenAI, Gemini, Claude, DeepSeek, SiliconFlow, or any OpenAI-compatible API


Mix and match — e.g., SiliconFlow for cheap embeddings + Ollama for free extraction.


Anti-Noise Scoring

Not all experiences are equal. Results are ranked by:
  • Hit frequency — confirmed experiences rank higher
  • Recency — recently confirmed > stale (60+ days penalty)
  • Confidence aging — new entries start lower, climb with confirmation
  • Ignore tracking — suggestions ignored 3x get demoted
  • Domain match — editing .ts file → TypeScript experiences rank higher
  • Temporal boost — confirmed in last 7 days → score boost
  • Superseded penalty — replaced knowledge ranks lower


This means your agent gets the most relevant, most trusted experience for the current context — not just the most similar vector match.


The Philosophy

Every AI memory company stores your data on their cloud and charges you to access it. Mem0 stores your memories. Letta stores your agent state. You pay monthly to access your own knowledge.


Experience Engine is different:
  • Your data never leaves your machine (unless you choose cloud sync)
  • Zero vendor lock-in — standard formats, portable profiles
  • Zero dependencies — Node.js built-in modules only
  • The engine is open source — you pay for convenience, never for capability


"Enterprise AI replaces you. Personal AI empowers you. Same technology. Different owner."


What's Next

The engine is live and working. I'm dogfooding it on my own projects right now. After 2 weeks:
  • 47 suggestions fired
  • 12 mistakes avoided
  • 5 principles evolved from ~50 raw entries
  • Memory footprint decreased (entries compressed into principles)


Next up: dashboard for visualizing the "Saves" feed (mistakes the agent didn't make), and a browser extension that injects experience into ChatGPT/Claude/Gemini web interfaces.


Links



If you're running local LLMs with Ollama, I'd love to hear how the engine works with your setup. And if you have ideas for new mistake detection patterns — PRs welcome.





Experience Engine is MIT licensed and free forever. The core engine will never be paywalled.




More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17690-experience-engine-ai-memory-that-shrinks-as-your-agent-learns NEXT LEVEL LAB — DevOps API Testing (AWS + Auth + CI/CD mindset) https://forums.sobergroup.com/forum/services/website-development/17689-next-level-lab-—-devops-api-testing-aws-auth-ci-cd-mindset Fri, 10 Apr 2026 01:56:13 GMT 🎯 Scenario You deployed a backend API (FastAPI / Node / Java — doesn’t matter) on: AWS ECS / EKS / EC2 Behind Load Balancer Example API: 🎯 Scenario

You deployed a backend API (FastAPI / Node / Java — doesn’t matter) on:
  • AWS ECS / EKS / EC2
  • Behind Load Balancer


Example API:






http://your-api-alb.amazonaws.com







You must:
  • Verify it works
  • Validate authentication
  • Test protected endpoints
  • Catch failures BEFORE deployment





🧠 PART 1 — WHERE API IS LOCATED (REAL WORLD)

In real DevOps:


🔹 AWS ECS / ALB





http://my-api-123.us-east-1.elb.amazonaws.com







🔹 Kubernetes (Ingress)





http://api.mycompany.com







🔹 API Gateway





https://abc123.execute-api.us-east-1.amazonaws.com/prod







👉 This URL = your entry point





🧠 PART 2 — API STRUCTURE (REAL APP)

Typical endpoints:


/health Health check
/login Auth
/users Data
/orders Business logic





🚀 PART 3 — BUILD REAL POSTMAN COLLECTION




📁 ENVIRONMENT





{
"base_url": "http://your-api-alb.amazonaws.com"
}










✅ TEST 1 — HEALTH CHECK (CRITICAL)

Request:





GET {{base_url}}/health







Tests:





pm.test("Service is UP", function () {
pm.response.to.have.status(200);
});

pm.test("Response contains status OK", function () {
const json = pm.response.json();
pm.expect(json.status).to.eql("ok");
});










👉 DevOps meaning:
  • Used in Load Balancer health checks
  • Used in Kubernetes readiness/liveness probes





✅ TEST 2 — LOGIN (AUTHENTICATION)

Request:





POST {{base_url}}/login







Body:





{
"username": "admin",
"password": "password123"
}










Tests:





const json = pm.response.json();

pm.test("Login success", function () {
pm.response.to.have.status(200);
});

pm.test("Token received", function () {
pm.expect(json.token).to.exist;
});

// Save token globally
pm.environment.set("auth_token", json.token);










👉 DevOps meaning:
  • Verifies authentication service
  • Detects broken IAM / auth integration





✅ TEST 3 — PROTECTED API (VERY IMPORTANT)

Request:





GET {{base_url}}/users







Headers:





Authorization: Bearer {{auth_token}}










Tests:





pm.test("Authorized access", function () {
pm.response.to.have.status(200);
});

pm.test("Users returned", function () {
const json = pm.response.json();
pm.expect(json.length).to.be.above(0);
});










👉 DevOps checks:
  • Token works
  • Backend connected to DB
  • No 500 errors





❌ TEST 4 — SECURITY TEST (NO TOKEN)

Request:





GET {{base_url}}/users







(no headers)





Tests:





pm.test("Unauthorized access blocked", function () {
pm.response.to.have.status(401);
});










👉 DevOps meaning:
  • Security validation
  • Prevents open APIs





⚡ TEST 5 — PERFORMANCE CHECK





pm.test("Response time ", function () {
pm.expect(pm.response.responseTime).to.be.below(30 0);
});










👉 DevOps meaning:
  • Detect slow deployments
  • Catch DB/network issues





💣 TEST 6 — FAILURE SIMULATION

Request:





GET {{base_url}}/crash







Tests:





pm.test("Server should not crash", function () {
pm.expect(pm.response.code).to.not.eql(500);
});










👉 DevOps:
  • Catch backend crashes early





🚀 PART 4 — AUTOMATION (REAL PIPELINE)




Export:

  • collection.json
  • environment.json





Run with Newman:





newman run collection.json -e environment.json










🔥 CI/CD PIPELINE EXAMPLE (REAL)





name: API Tests

on: [push]

jobs:
test-api:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4

- name: Install Newman
run: npm install -g newman

- name: Run API Tests
run: newman run collection.json -e environment.json










💣 REAL FAILURE SCENARIO

If:
  • /health fails → service DOWN
  • /login fails → auth broken
  • /users fails → DB broken


👉 Pipeline = ❌ FAIL

👉 Deployment = ❌ STOP





🧠 PART 5 — HOW DEVOPS DEBUGS

If test fails:


Step 1:





curl http://api-url/health







Step 2:

Check logs:
  • ECS → CloudWatch
  • Kubernetes → kubectl logs
  • EC2 → /var/log


Step 3:

Check:
  • Security groups
  • DB connection
  • Env variables





🧠 PART 6 — REAL INTERVIEW ANSWER

👉 Question:

"How do you validate API in DevOps?"


Answer:


I validate API using Postman collections with automated tests for health checks, authentication, authorization, and response validation. Then I run them using Newman in CI/CD pipelines to ensure deployments do not break backend services.





You now understand:


✔ Where API lives (ALB, EKS, API Gateway)

✔ How to find endpoints

✔ What DevOps tests (NOT QA level)

✔ Auth + security testing

✔ Performance checks

✔ CI/CD automation

✔ Failure handling




More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17689-next-level-lab-—-devops-api-testing-aws-auth-ci-cd-mindset February 2026 Baseline monthly digest https://forums.sobergroup.com/forum/services/website-development/17688-february-2026-baseline-monthly-digest Fri, 10 Apr 2026 01:56:13 GMT Read about various happenings with Baseline during February 2026. More... (https://web.dev/blog/baseline-digest-feb-2026?hl=en)
More...]]> Website Development MyrinNew https://forums.sobergroup.com/forum/services/website-development/17688-february-2026-baseline-monthly-digest Your Owned Content Is Losing To A Stranger’s Reddit Comment via @sejournal, @DuaneForrester https://forums.sobergroup.com/forum/services/marketing/17687-your-owned-content-is-losing-to-a-stranger’s-reddit-comment-via-sejournal-duaneforrester Fri, 10 Apr 2026 01:56:13 GMT AI recommendations increasingly rely on Reddit and community signals, reshaping how brands earn visibility, trust, and influence in the AI-driven...
The post Your Owned Content Is Losing To A Stranger’s Reddit Comment appeared first on Search Engine Journal.



More...]]> Marketing Tech Squirrel https://forums.sobergroup.com/forum/services/marketing/17687-your-owned-content-is-losing-to-a-stranger’s-reddit-comment-via-sejournal-duaneforrester Don’t Go Chasing AI Yet: A Framework for Prioritizing SEO vs. AI Search via @sejournal, @hethr_campbell https://forums.sobergroup.com/forum/services/marketing/17686-don’t-go-chasing-ai-yet-a-framework-for-prioritizing-seo-vs-ai-search-via-sejournal-hethr_campbell Fri, 10 Apr 2026 01:56:13 GMT Discover the essential questions to consider before investing in AI visibility over traditional SEO in our informative webinar. The post Don’t Go...
The post Don’t Go Chasing AI Yet: A Framework for Prioritizing SEO vs. AI Search appeared first on Search Engine Journal.



More...]]> Marketing Tech Squirrel https://forums.sobergroup.com/forum/services/marketing/17686-don’t-go-chasing-ai-yet-a-framework-for-prioritizing-seo-vs-ai-search-via-sejournal-hethr_campbell NYT Strands hints and answers for Friday, April 10 (game #768) https://forums.sobergroup.com/forum/saas/docs/17685-nyt-strands-hints-and-answers-for-friday-april-10-game-768 Fri, 10 Apr 2026 01:56:13 GMT Looking for NYT Strands answers and hints? Here's all you need to know to solve today's game, including the spangram.


Read more of this post..

If you would like help Sober Group to assist you with advertising, marketing, website development, call center, sponsorships or placement in our free classifieds, visit our Services page at https://sobergroup.com/services]]> Docs Tech Squirrel https://forums.sobergroup.com/forum/saas/docs/17685-nyt-strands-hints-and-answers-for-friday-april-10-game-768 <![CDATA[The Pitt season 2 finale will have at least 'one real surprise' in store for fans, confirms star — as Dr. Robby's shift takes a turn for the worse]]> https://forums.sobergroup.com/forum/saas/docs/17684-the-pitt-season-2-finale-will-have-at-least-one-real-surprise-in-store-for-fans-confirms-star-—-as-dr-robby-s-shift-takes-a-turn-for-the-worse Fri, 10 Apr 2026 01:56:13 GMT The countdown to The Pitt season 2 finale has officially begun, with one star teasing at least 'one real surprise' in store when it lands on HBO Max.


Read more of this post..

If you would like help Sober Group to assist you with advertising, marketing, website development, call center, sponsorships or placement in our free classifieds, visit our Services page at https://sobergroup.com/services]]> Docs Tech Squirrel https://forums.sobergroup.com/forum/saas/docs/17684-the-pitt-season-2-finale-will-have-at-least-one-real-surprise-in-store-for-fans-confirms-star-—-as-dr-robby-s-shift-takes-a-turn-for-the-worse Meta AI app climbs to No. 5 on the App Store after Muse Spark launch https://forums.sobergroup.com/forum/saas/app/17683-meta-ai-app-climbs-to-no-5-on-the-app-store-after-muse-spark-launch Fri, 10 Apr 2026 01:56:13 GMT
Read more of this post..

If you would like help Sober Group to assist you with advertising, marketing, website development, call center, sponsorships or placement in our free classifieds, visit our Services page at https://sobergroup.com/services]]> App Tech Squirrel https://forums.sobergroup.com/forum/saas/app/17683-meta-ai-app-climbs-to-no-5-on-the-app-store-after-muse-spark-launch StubHub to pay $10M to settle FTC allegations over ‘deceptive’ ticket pricing https://forums.sobergroup.com/forum/saas/app/17682-stubhub-to-pay-10m-to-settle-ftc-allegations-over-‘deceptive’-ticket-pricing Fri, 10 Apr 2026 01:56:13 GMT
Read more of this post..

If you would like help Sober Group to assist you with advertising, marketing, website development, call center, sponsorships or placement in our free classifieds, visit our Services page at https://sobergroup.com/services]]> App Tech Squirrel https://forums.sobergroup.com/forum/saas/app/17682-stubhub-to-pay-10m-to-settle-ftc-allegations-over-‘deceptive’-ticket-pricing