π΄ How to MASTER a programming language using ChatGPT: π
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT ππ
https://t.me/free4unow_backup/687
Master DSA ππ
https://t.me/dsabooks/156
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT ππ
https://t.me/free4unow_backup/687
Master DSA ππ
https://t.me/dsabooks/156
β€6π1
βοΈ 8 ChatGPT prompts to use when you need a spark of inspiration
Use those prompts as a starting point to move forward when you are at a dead end or have lost your way:
1. Improve your decision making
π‘ Prompt:
2. Learn from the best
π‘ Prompt:
3. Your personalized tutor
π‘ Prompt:
4. ChatGPT as your intern
π‘ Prompt:
5. Learn any new skill
π‘ Prompt:
6. Learn faster than ever with the 80/20 technique
π‘ Prompt:
7. Get ChatGPT to write prompts for you
π‘ Prompt:
8. Rewrite and simplify complex texts
π‘ Prompt:
Use those prompts as a starting point to move forward when you are at a dead end or have lost your way:
1. Improve your decision making
π‘ Prompt:
I am trying to decide if I should [insert decision]. Give me a list of pros and cons that will help me make this decision.2. Learn from the best
π‘ Prompt:
Analyze the top performers in [insert your field of work]. Give me a list of the most important lessons I can learn from them to boost my productivity.3. Your personalized tutor
π‘ Prompt:
I am currently learning about [insert topic]. Ask me a series of questions that will test my knowledge. Identify knowledge gaps in my answers and give me better answers to fill those gaps.4. ChatGPT as your intern
π‘ Prompt:
I am creating a report about [insert topic]. Research and create an in-depth report with a step-by-step guide that will help readers understand how to [insert outcome].5. Learn any new skill
π‘ Prompt:
I want to learn [insert skill]. Generate a 30 day plan that will help a beginner like me learn the skill from scratch.6. Learn faster than ever with the 80/20 technique
π‘ Prompt:
I want to learn about [insert topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.7. Get ChatGPT to write prompts for you
π‘ Prompt:
I am a/an [insert your profession]. Generate a list of most powerful prompts that will help someone in my profession get more done and save time.8. Rewrite and simplify complex texts
π‘ Prompt:
Rewrite the text below in simple and easy to understand words. Simple and easy enough for anyone who doesn't know the subject to understand what I'm trying to say.β€14π5π1
π Join Sber500 Batch 7 β Free International Accelerator for Startups
Want to scale your startup or launch a pilot with a corporation? Sber500 is now accepting applications for Batch 7.
Who should apply:
β Startups with MVP and early traction
β DeepTech teams: GenAI, robotics, advanced materials, photonics, quantum computing, autonomous transport
β International founders exploring the Russian market
What you'll get:
1οΈβ£ 12-week online program in English β strengthen product strategy and business model
2οΈβ£ International mentors β serial founders, VC partners, corporate executives from Europe, US, Asia, Middle East
3οΈβ£ Access to investors & corporations β 25 best teams work directly with funds and potential customers
4οΈβ£ Demo Day at Moscow Startup Summit β fall 2026, present to wider audience
5οΈβ£ Long-term community β work on growth and deals continues after program ends
Results that speak:
π Revenue grows 4x on average after program
π Some teams scale up to 1,000x
π€ 10,900+ contracts and pilots with corporations (6 seasons)
Previous international teams from: India, South Korea, Armenia, China, Turkey, Algeria and other contries
Program stages:
πΉ Stage 1: Online bootcamp for 150 teams
πΉ Stage 2: 25 best teams selected for intensive mentorship
πΉ Stage 3: Demo Day at Moscow Startup Summit
π Application deadline: 10 April 2026
π° Participation: Free of charge
π Apply now
#Startup #Accelerator #Sber500 #DeepTech #GenAI #Founders #VentureCapital
Want to scale your startup or launch a pilot with a corporation? Sber500 is now accepting applications for Batch 7.
Who should apply:
β Startups with MVP and early traction
β DeepTech teams: GenAI, robotics, advanced materials, photonics, quantum computing, autonomous transport
β International founders exploring the Russian market
What you'll get:
1οΈβ£ 12-week online program in English β strengthen product strategy and business model
2οΈβ£ International mentors β serial founders, VC partners, corporate executives from Europe, US, Asia, Middle East
3οΈβ£ Access to investors & corporations β 25 best teams work directly with funds and potential customers
4οΈβ£ Demo Day at Moscow Startup Summit β fall 2026, present to wider audience
5οΈβ£ Long-term community β work on growth and deals continues after program ends
Results that speak:
π Revenue grows 4x on average after program
π Some teams scale up to 1,000x
π€ 10,900+ contracts and pilots with corporations (6 seasons)
Previous international teams from: India, South Korea, Armenia, China, Turkey, Algeria and other contries
Program stages:
πΉ Stage 1: Online bootcamp for 150 teams
πΉ Stage 2: 25 best teams selected for intensive mentorship
πΉ Stage 3: Demo Day at Moscow Startup Summit
π Application deadline: 10 April 2026
π° Participation: Free of charge
π Apply now
#Startup #Accelerator #Sber500 #DeepTech #GenAI #Founders #VentureCapital
β€6
β
Useful AI Tools You Should Know π€π»
ποΈ Voiceovers & AI Music
1οΈβ£ ElevenLabs
2οΈβ£ Speechma
3οΈβ£ Natural Readers
4οΈβ£ Suno AI
π₯ Video AI Tools
5οΈβ£ Kling AI
6οΈβ£ HaizouAI Minimax
7οΈβ£ Pika Labs
8οΈβ£ RunwayML
9οΈβ£ Heygen AI
π OpenMagic
πΌοΈ Image Creation
1οΈβ£2οΈβ£ Midjourney AI
1οΈβ£3οΈβ£ Leonardo AI
1οΈβ£4οΈβ£ Microsoft Image Creator
1οΈβ£5οΈβ£ Ideogram
1οΈβ£6οΈβ£ Rendernet AI
1οΈβ£7οΈβ£ Dzine AI
1οΈβ£8οΈβ£ Krea AI
1οΈβ£9οΈβ£ Freepik AI
π Presentation Tools
2οΈβ£1οΈβ£ Tome AI
2οΈβ£2οΈβ£ Scribe AI
2οΈβ£3οΈβ£ Gamma AI
π¨ Graphic Design & Image Editors
2οΈβ£4οΈβ£ Canva
2οΈβ£5οΈβ£ Kittl
2οΈβ£6οΈβ£ Photopea
2οΈβ£7οΈβ£ ImgUpscaler
π οΈ Multipurpose AI Tools
2οΈβ£8οΈβ£ Grok AI
2οΈβ£9οΈβ£ DeepSeek AI
3οΈβ£0οΈβ£ Perplexity AI
3οΈβ£1οΈβ£ Google AI Studio
π AI Website Builders
3οΈβ£2οΈβ£ 10Web
3οΈβ£3οΈβ£ ChatSimple
3οΈβ£4οΈβ£ N8N
3οΈβ£5οΈβ£ Zapier
3οΈβ£6οΈβ£ ChatBase
π’ AI Tools for Businesses
3οΈβ£7οΈβ£ Notion
3οΈβ£8οΈβ£ BeaconsAI
3οΈβ£9οΈβ£ Beehiiv
π¬ Tap β€οΈ for more!
ποΈ Voiceovers & AI Music
1οΈβ£ ElevenLabs
2οΈβ£ Speechma
3οΈβ£ Natural Readers
4οΈβ£ Suno AI
π₯ Video AI Tools
5οΈβ£ Kling AI
6οΈβ£ HaizouAI Minimax
7οΈβ£ Pika Labs
8οΈβ£ RunwayML
9οΈβ£ Heygen AI
π OpenMagic
πΌοΈ Image Creation
1οΈβ£2οΈβ£ Midjourney AI
1οΈβ£3οΈβ£ Leonardo AI
1οΈβ£4οΈβ£ Microsoft Image Creator
1οΈβ£5οΈβ£ Ideogram
1οΈβ£6οΈβ£ Rendernet AI
1οΈβ£7οΈβ£ Dzine AI
1οΈβ£8οΈβ£ Krea AI
1οΈβ£9οΈβ£ Freepik AI
π Presentation Tools
2οΈβ£1οΈβ£ Tome AI
2οΈβ£2οΈβ£ Scribe AI
2οΈβ£3οΈβ£ Gamma AI
π¨ Graphic Design & Image Editors
2οΈβ£4οΈβ£ Canva
2οΈβ£5οΈβ£ Kittl
2οΈβ£6οΈβ£ Photopea
2οΈβ£7οΈβ£ ImgUpscaler
π οΈ Multipurpose AI Tools
2οΈβ£8οΈβ£ Grok AI
2οΈβ£9οΈβ£ DeepSeek AI
3οΈβ£0οΈβ£ Perplexity AI
3οΈβ£1οΈβ£ Google AI Studio
π AI Website Builders
3οΈβ£2οΈβ£ 10Web
3οΈβ£3οΈβ£ ChatSimple
3οΈβ£4οΈβ£ N8N
3οΈβ£5οΈβ£ Zapier
3οΈβ£6οΈβ£ ChatBase
π’ AI Tools for Businesses
3οΈβ£7οΈβ£ Notion
3οΈβ£8οΈβ£ BeaconsAI
3οΈβ£9οΈβ£ Beehiiv
π¬ Tap β€οΈ for more!
β€23
β
Chat & AI Important Concepts You Should Know π€π‘
π§ Core Chat Concepts
- Chat β An AI chatbot that generates human-like responses using large language models.
- Large Language Model (LLM) β AI model trained on massive text datasets to understand and generate language.
- Generative AI β AI that creates new content like text, images, code, and videos.
- Prompt β The input or instruction given to AI.
- Prompt Engineering β Designing prompts to get better AI responses.
βοΈ How Chat Works
- Token β Small units of text used by AI models to process language.
- Context Window β The amount of text the AI can remember in a conversation.
- Training Data β Large datasets used to train AI models.
- Fine-Tuning β Training a pre-trained model with additional specific data.
- Inference β The process where the trained AI generates responses.
π€ AI Capabilities in Chat
- Text Generation β Writing articles, emails, summaries.
- Code Generation β Writing and debugging code.
- Content Creation β Blogs, scripts, marketing copy.
- Data Analysis β Analyzing datasets and generating insights.
- AI Assistants β Virtual assistants for productivity.
π§© Advanced AI Concepts
- Embeddings β Converting text into numerical vectors for AI understanding.
- Vector Database β Database used to store embeddings for fast AI search.
- Retrieval-Augmented Generation (RAG) β AI retrieves external data before generating answers.
- AI Agents β AI systems that can perform tasks autonomously.
- Multimodal AI β AI that understands text, images, audio, and video.
β οΈ Limitations of Chat
- Hallucination β AI generating incorrect information confidently.
- Bias β AI reflecting biases from training data.
- Context Limit β AI cannot remember unlimited conversation history.
- Data Freshness β AI knowledge may not always be real-time.
π Popular Chat Use Cases
- Content writing
- Coding assistance
- Data analysis
- Customer support chatbots
- Research & summarization
π₯ Pro Tip
The people who will benefit most from AI are not the ones who fear it β but the ones who learn how to use it effectively.
π¬ Double Tap β₯οΈ For More
π§ Core Chat Concepts
- Chat β An AI chatbot that generates human-like responses using large language models.
- Large Language Model (LLM) β AI model trained on massive text datasets to understand and generate language.
- Generative AI β AI that creates new content like text, images, code, and videos.
- Prompt β The input or instruction given to AI.
- Prompt Engineering β Designing prompts to get better AI responses.
βοΈ How Chat Works
- Token β Small units of text used by AI models to process language.
- Context Window β The amount of text the AI can remember in a conversation.
- Training Data β Large datasets used to train AI models.
- Fine-Tuning β Training a pre-trained model with additional specific data.
- Inference β The process where the trained AI generates responses.
π€ AI Capabilities in Chat
- Text Generation β Writing articles, emails, summaries.
- Code Generation β Writing and debugging code.
- Content Creation β Blogs, scripts, marketing copy.
- Data Analysis β Analyzing datasets and generating insights.
- AI Assistants β Virtual assistants for productivity.
π§© Advanced AI Concepts
- Embeddings β Converting text into numerical vectors for AI understanding.
- Vector Database β Database used to store embeddings for fast AI search.
- Retrieval-Augmented Generation (RAG) β AI retrieves external data before generating answers.
- AI Agents β AI systems that can perform tasks autonomously.
- Multimodal AI β AI that understands text, images, audio, and video.
β οΈ Limitations of Chat
- Hallucination β AI generating incorrect information confidently.
- Bias β AI reflecting biases from training data.
- Context Limit β AI cannot remember unlimited conversation history.
- Data Freshness β AI knowledge may not always be real-time.
π Popular Chat Use Cases
- Content writing
- Coding assistance
- Data analysis
- Customer support chatbots
- Research & summarization
π₯ Pro Tip
The people who will benefit most from AI are not the ones who fear it β but the ones who learn how to use it effectively.
π¬ Double Tap β₯οΈ For More
β€19
βοΈ Prompt Engineering Roadmap
π LLM Fundamentals (Tokens, Context Window, Temperature)
βπ Zero-Shot Prompting (Direct Instructions)
βπ Few-Shot Prompting (Examples in Prompt)
βπ Chain-of-Thought (Step-by-Step Reasoning)
βπ Role Prompting ("Act as a Senior Data Scientist")
βπ Self-Consistency (Generate Multiple β Vote Best)
βπ Tree-of-Thoughts (Explore Multiple Reasoning Paths)
βπ Generated Knowledge (Research Before Answering)
βπ Retrieval Augmented Generation (RAG)
βπ Automatic Prompt Optimization
βπ Structured Output (JSON, YAML, Tables)
βπ Multi-Turn Conversations (Memory/Context Management)
βπ Advanced Techniques (ReAct, Reflexion, DSP)
βπ Tools & Evaluation (Promptfoo, LangSmith)
βπ Projects (Build Prompt Library, A/B Test Prompts)
ββ Apply for Prompt Engineer / AI Specialist Roles
π¬ Tap β€οΈ for more!
π LLM Fundamentals (Tokens, Context Window, Temperature)
βπ Zero-Shot Prompting (Direct Instructions)
βπ Few-Shot Prompting (Examples in Prompt)
βπ Chain-of-Thought (Step-by-Step Reasoning)
βπ Role Prompting ("Act as a Senior Data Scientist")
βπ Self-Consistency (Generate Multiple β Vote Best)
βπ Tree-of-Thoughts (Explore Multiple Reasoning Paths)
βπ Generated Knowledge (Research Before Answering)
βπ Retrieval Augmented Generation (RAG)
βπ Automatic Prompt Optimization
βπ Structured Output (JSON, YAML, Tables)
βπ Multi-Turn Conversations (Memory/Context Management)
βπ Advanced Techniques (ReAct, Reflexion, DSP)
βπ Tools & Evaluation (Promptfoo, LangSmith)
βπ Projects (Build Prompt Library, A/B Test Prompts)
ββ Apply for Prompt Engineer / AI Specialist Roles
π¬ Tap β€οΈ for more!
β€18
META proposed new way of training agents
Modern AI is still directly dependent on human labeling and human data in general. And there are a lot of problems with this: it's expensive, time-consuming, "data runs out", etc.
π’ What META done?
Not a breakthrough, but few pipelines today give such significant increases, so it's quite interesting (but code wasn't provided).
β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’
Modern AI is still directly dependent on human labeling and human data in general. And there are a lot of problems with this: it's expensive, time-consuming, "data runs out", etc.
π’ What META done?
They are also convinced that this is essentially a hard ceiling on the path to AGI: if you only train agents on human traces, then the learning boils down to refining human experience. So can we be 100% sure that such systems can learn something outside the distribution and become smarter than us? This is especially true for areas such as coding, which will be discussed further.
The researchers proposed Self-Play SWE-RL - a way to train agents so that they can self-improve on their own data.
Not a breakthrough, but few pipelines today give such significant increases, so it's quite interesting (but code wasn't provided).
β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’β’
π6β€2
5οΈβ£ ILLEGAL CHATGPT PROMPTS THAT ACTUALLY WORKS For building AI busimesses , creating content, and making money online.
1β£. BUILD AI AGENCY
"Transform into my automation agency founder who identifies 5 repetitive business processes ripe for AI replacement across [target industry]. Analyze inefficiencies, data entry, and service pain points to design AI solutions that save 10+ hours weekly. Create service packages from chatbot integration to full automation, priced by time saved and ROI. Include discovery questions, timelines, and [pricing tier] options that position your agency as the go-to AI efficiency expert."
2β£. MULTIPLY YOUR CONTENT
"Become my viral content multiplier who transforms one [content type] into 15 formats using AI repurposing. Analyze top content across platforms to find which formats drive the most engagement per niche. Build a workflow to extract key insights, quotes, and data from original content, then reshape them into threads, carousels, video scripts, newsletters, and podcast segments. Add platform tips and [audience targeting] brackets so each piece feels native and valuable."
3β£. CREATE AI COURSE
"Channel your inner education entrepreneur who builds a profitable online course teaching [specific AI skill] to busy professionals in 30 days. Research market demand, competitor pricing, and student pain points to design a curriculum with practical results. Structure 8 core modules with hands-on exercises, real-world case studies, and downloadable templates. Include pre-launch validation, pricing psychology, and [bonus material] to boost completion rates and testimonials."
5β£. BUILD NEWSLETTER BUSINESS
"Act as my newsletter strategist who launches a monetized AI-focused newsletter for [specific profession] that hits 1,000 subscribers in 60 days. Study winning formats, engagement patterns, and monetization models to create content busy professionals read and share. Build a calendar with insights, tool reviews and tips. Develop revenue via sponsorships, affiliate deals, and premium subscriptions. Include growth hacks and [content theme] that build loyal readership."
5β£. BUILD CHATBOT SERVICE
"Transform into my specialized chatbot consultant who builds AI assistants for [business type] that boost satisfaction and cut support costs. Analyze common inquiries, response patterns, and escalation triggers to design bots that handle 80% of routine questions. Develop packages for setup, training, integration, and optimization, with ROI metrics and guarantees. Include industry-specific flows and [integration platform] options that drive real business value."
β€12π―6
π€ CONTENT CREATION PROMPTS CHEATSHEET
π§ Use these prompts to generate ideas, write faster, and level up your content game.
π Role
- Act as a content strategist
- Act as a scriptwriter
- Act as a social media manager
- Act as a copywriter
- Act as a brand voice expert
- Act as a content editor
π Context
- Youβre creating for Instagram
- Youβre writing for LinkedIn
- You want viral hooks
- You need carousel copy
- Youβre stuck on ideas
- You want to repurpose content
π― Task
- Create 10 hook ideas
- Write a 30-sec script
- Turn this into a carousel
- Summarize this blog post
- Generate a content calendar
- Rewrite this caption to boost engagement
π§ Restrictions
- Use short sentences
- Avoid fluff
- Add real examples
- Keep tone friendly
- Make it skimmable
- Use emojis where helpful
π Output Format
- Hook list
- Carousel outline
- Short script
- Step-by-step guide
- Caption pack
- Post + CTA combo
ποΈ Extra Controls
- Ask clarifying questions first
- Give 3 tone/style options
- Show before vs after
- Suggest visuals
- Add hashtags or CTAs
- Provide 3 content angles
β Example Prompts
1οΈβ£ βAct as a content strategist. Create 10 short hooks for a post on [topic], each under 12 words, for beginners using simple language and no filler.β
2οΈβ£ βAct as a scriptwriter. Turn [topic] into a 30-second short video script with a hook, core idea, and clear takeaway. Use one real example and short sentences.β
3οΈβ£ βAct as a social media manager. Create a 7-slide carousel outline on [topic] β Slide 1: hook, Slides 2β6: key points with examples, Slide 7: clear action.β
4οΈβ£ βAct as an editor. Write 5 concise captions for a post on [topic], each under two lines. Use a friendly tone, clear message, and no emojis.β
5οΈβ£ βAct as a content strategist. Create a 7-day content calendar for [platform] on [topic]. Include one post per day with format and goal specified.β
π₯ Save this for future!
π‘ Double Tap β₯οΈ For More!
π§ Use these prompts to generate ideas, write faster, and level up your content game.
π Role
- Act as a content strategist
- Act as a scriptwriter
- Act as a social media manager
- Act as a copywriter
- Act as a brand voice expert
- Act as a content editor
π Context
- Youβre creating for Instagram
- Youβre writing for LinkedIn
- You want viral hooks
- You need carousel copy
- Youβre stuck on ideas
- You want to repurpose content
π― Task
- Create 10 hook ideas
- Write a 30-sec script
- Turn this into a carousel
- Summarize this blog post
- Generate a content calendar
- Rewrite this caption to boost engagement
π§ Restrictions
- Use short sentences
- Avoid fluff
- Add real examples
- Keep tone friendly
- Make it skimmable
- Use emojis where helpful
π Output Format
- Hook list
- Carousel outline
- Short script
- Step-by-step guide
- Caption pack
- Post + CTA combo
ποΈ Extra Controls
- Ask clarifying questions first
- Give 3 tone/style options
- Show before vs after
- Suggest visuals
- Add hashtags or CTAs
- Provide 3 content angles
β Example Prompts
1οΈβ£ βAct as a content strategist. Create 10 short hooks for a post on [topic], each under 12 words, for beginners using simple language and no filler.β
2οΈβ£ βAct as a scriptwriter. Turn [topic] into a 30-second short video script with a hook, core idea, and clear takeaway. Use one real example and short sentences.β
3οΈβ£ βAct as a social media manager. Create a 7-slide carousel outline on [topic] β Slide 1: hook, Slides 2β6: key points with examples, Slide 7: clear action.β
4οΈβ£ βAct as an editor. Write 5 concise captions for a post on [topic], each under two lines. Use a friendly tone, clear message, and no emojis.β
5οΈβ£ βAct as a content strategist. Create a 7-day content calendar for [platform] on [topic]. Include one post per day with format and goal specified.β
π₯ Save this for future!
π‘ Double Tap β₯οΈ For More!
β€33π₯2
π€ 10 new AI tools you cannot miss:
1. Summarize YouTube video
eightify.app/
2. AI Meeting Summarizer
Tldv.io
3. Websites in 60 Seconds
Durable.co
4. Images and Logo Generator
Stockimg.ai
5. User Growth platform for SaaS
Cello.so
6. AI ChatBots Maker
Dante-ai.com
7. ChatGPT for Whatsapp
Yatterplus.in
8. AI tool for Research
Paperpal.com
9. AI Tool for Study
Beta.monic.ai
10. AI App Store
Vondy.com
1. Summarize YouTube video
eightify.app/
2. AI Meeting Summarizer
Tldv.io
3. Websites in 60 Seconds
Durable.co
4. Images and Logo Generator
Stockimg.ai
5. User Growth platform for SaaS
Cello.so
6. AI ChatBots Maker
Dante-ai.com
7. ChatGPT for Whatsapp
Yatterplus.in
8. AI tool for Research
Paperpal.com
9. AI Tool for Study
Beta.monic.ai
10. AI App Store
Vondy.com
β€17π2π1
π©Claude vs Cursor: Which one is better for vibe-coding?
If you want to code fast, prototype ideas, and keep the flow, hereβs the simple breakdown.
βοΈ Claude Code
β’ Great at understanding large projects and complex logic.
β’ Helps with architecture, clean code, refactoring, and deep reviews.
β’ Better for long-term, serious projects.
β’ But it works through the terminal, so the workflow is less βinstantβ.
βοΈ Cursor
β’ Full IDE experience with quick edits, autocompletion, and fast responses.
β’ Perfect for prototyping, experiments, small features, and rapid development.
β’ Super convenient when you want speed and smooth workflow.
β’ But in very large projects it can lose context and be less reliable.
What to choose?
β’ For smart, clean, scalable code β choose Claude Code.
β’ For fast vibes, experiments, and quick builds β choose Cursor.
Most developers use both: Cursor for speed, Claude for depth.
If you want to code fast, prototype ideas, and keep the flow, hereβs the simple breakdown.
βοΈ Claude Code
β’ Great at understanding large projects and complex logic.
β’ Helps with architecture, clean code, refactoring, and deep reviews.
β’ Better for long-term, serious projects.
β’ But it works through the terminal, so the workflow is less βinstantβ.
βοΈ Cursor
β’ Full IDE experience with quick edits, autocompletion, and fast responses.
β’ Perfect for prototyping, experiments, small features, and rapid development.
β’ Super convenient when you want speed and smooth workflow.
β’ But in very large projects it can lose context and be less reliable.
What to choose?
β’ For smart, clean, scalable code β choose Claude Code.
β’ For fast vibes, experiments, and quick builds β choose Cursor.
Most developers use both: Cursor for speed, Claude for depth.
β€10
Mistral just open sourced a TTS model!
(3 second voice cloning, beats ElevenLabs!!!)
Voxtral TTS is a 4B parameter multilingual text-to-speech model. It clones any voice from just 3 seconds of reference audio using a hybrid architecture that combines autoregressive decoding for semantics with flow-matching for acoustics.
- 68.4% win rate over ElevenLabs Flash v2.5
- 9 language support with benchmarks
- Outperforms ElevenLabs on speaker similarity across all languages
- Sub-second latency, 32 concurrent streams on a single H200
- DPO adapted for hybrid discrete-continuous generation
Link to the paper and model weights :
https://huggingface.co/papers/2603.25551
(3 second voice cloning, beats ElevenLabs!!!)
Voxtral TTS is a 4B parameter multilingual text-to-speech model. It clones any voice from just 3 seconds of reference audio using a hybrid architecture that combines autoregressive decoding for semantics with flow-matching for acoustics.
- 68.4% win rate over ElevenLabs Flash v2.5
- 9 language support with benchmarks
- Outperforms ElevenLabs on speaker similarity across all languages
- Sub-second latency, 32 concurrent streams on a single H200
- DPO adapted for hybrid discrete-continuous generation
Link to the paper and model weights :
https://huggingface.co/papers/2603.25551
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Built by top tech leaders from Google, Meta, Open AI
SST Offers:
β‘οΈ 4 Years Program in CS/AI and AI + B
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So if you are serious about pursuing a career in CS and AI- Apply now for the entrance exam NSET.
Students with good JEE scores can directly advance to interview round.
Registeration Link:https://scalerschooloftech.com/4sZAYSQ
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