Dp Singh

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Dp Singh

Dp Singh

@ViksitBharatAI

Builder shipping AI tools from Melbourne | Logistics ops turned coder | https://t.co/lKznGMIRsP | https://t.co/xFxSHFw3bk | Building in public

Melbourne Se unió Ağustos 2024
159 Siguiendo135 Seguidores
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Dp Singh
Dp Singh@ViksitBharatAI·
Just shipped a small thing I have been thinking about for a while. 👉 photoresizer.tech It is a simple photo resizer. Fast. No sign-up. No noise. I would genuinely love feedback. What feels useful. What feels off. What is missing. If you are building tools, products, or experimenting with small apps and want to connect or build something together, feel free to reach out.
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Dp Singh
Dp Singh@ViksitBharatAI·
Feels like the natural evolution. Agents handle tasks. Orchestrators handle outcomes. The hard part is not building one smart agent anymore, it is coordinating multiple tools, managing state, and making sure things do not break across steps. Curious where you see the bottleneck now reasoning quality or system reliability?
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Vaibhav Sisinty
Vaibhav Sisinty@VaibhavSisinty·
Looks like everyone is moving from building AI Agents to AI Orchestrators!
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Dp Singh
Dp Singh@ViksitBharatAI·
AI agents are quietly shifting work from doing tasks to designing systems that do tasks. The leverage is not in prompting anymore. It is in: • structuring workflows • handling edge cases • managing outputs over time Most people are still thinking “tools.” The shift is “orchestration.” What is one workflow you would trust an AI agent to run end-to-end today? And where does it still break for you?
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Dp Singh
Dp Singh@ViksitBharatAI·
@codewithpri Good morning. The space is moving fast right now, feels like every week the bar shifts again. Always open to connecting with people who are actually building. That is where the real learning comes from.
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Priyanka Lakhara
Priyanka Lakhara@codewithpri·
Good morning developers 🥰 If you're into Tech let's connect
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Dp Singh
Dp Singh@ViksitBharatAI·
True, but the interesting part is that the things people do purely for the love of it often end up creating the most value. When there is no immediate pressure to monetise, the quality, curiosity, and depth tend to be higher. That is usually where real innovation comes from. Money can scale something, but passion is what makes it worth scaling in the first place.
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Abhi
Abhi@AbhiCodes15·
Can someone explain how these open source projects actually make money? -Git -Linux -Docker -OpenClaw -Kubernetes
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Dp Singh
Dp Singh@ViksitBharatAI·
Finishing one forces you to face reality, trade-offs, constraints, and the boring parts no plan prepares you for. That is where real progress happens. Starting 10 feels productive, but finishing 1 builds the skill to actually ship, iterate, and compound. Most people do not have a planning problem, they have a consistency problem.
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Dp Singh
Dp Singh@ViksitBharatAI·
This is a good reality check on where things are heading. What stood out to me is not “forget coding”, it is how much faster you can move from idea → usable product when the tooling handles the repetitive layers. The leverage shifts from writing code to structuring the problem properly. The real test now is not how quickly apps can be generated, but how well they hold up when you add real-world constraints auth, edge cases, messy data, performance, and iteration over time. If tools like this can handle even 60–70% of that reliably, it changes who can build and how fast they can compound.
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Dp Singh
Dp Singh@ViksitBharatAI·
That is a strong signal, especially in Utilities where users do not switch easily unless there is clear, immediate value. Early traction like this usually comes from one thing being done meaningfully better, not just different. If Comet can consistently reduce friction between searching, reading, and acting, retention will matter more than rankings. Curious to see how usage holds over the next few weeks. That is where you separate curiosity downloads from real behaviour change.
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
Comet’s top in Utilities and 3rd overall as of now
Aravind Srinivas tweet media
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Dp Singh
Dp Singh@ViksitBharatAI·
@VaibhavSisinty Codex models are quietly becoming very capable, especially when used inside structured workflows instead of one-off prompts. The gap now is not capability, it is how well people design systems around them.
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Vaibhav Sisinty
Vaibhav Sisinty@VaibhavSisinty·
It's wild how underrated the new OpenAI codex models are!
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Dp Singh
Dp Singh@ViksitBharatAI·
@ai_for_success Google AI Studio has an advantage if it leans into end to end flow, from prompt to deployment without friction. The winner here will not be the smartest model, it will be the platform that reduces the number of steps between idea and execution.
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Dp Singh
Dp Singh@ViksitBharatAI·
This is where things get interesting. Once tools like search, maps, and file access are native inside function calling, you are no longer prompting models, you are orchestrating systems. The real unlock is not demos, it is reliability across multi-step workflows. If Gemini can handle state, memory, and tool chaining without breaking, it moves from experimentation to actual infrastructure. Currently building around this space. Curious how others are thinking about production use, not just prototypes.
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Dp Singh
Dp Singh@ViksitBharatAI·
This has been a long time coming. Just tried Comet on iOS and the experience is genuinely impressive. The way it blends browsing with real-time AI assistance feels far more natural than switching between tools. If this keeps evolving, it is not just a browser upgrade, it starts redefining how people interact with the web altogether. Well executed. Looking forward to seeing how far you take this.
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Blink.new
Blink.new@blinkdotnew·
@ViksitBharatAI Hey! Just DMed you! Would be great if you could repost as well!
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Blink.new
Blink.new@blinkdotnew·
Introducing Blink Claw - the first platform to hire unlimited AI employees that run your business 24/7. 180+ AI models included. Gmail, Slack, LinkedIn, HubSpot - one-click connect. No API keys, no $600 Mac Mini. Reply "Claw" + RT. Your first agent is on us. ($50 - 200 creds)
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Dp Singh
Dp Singh@ViksitBharatAI·
@elonmusk Computer access would be huge, and unlimited usage for power users would make this far more practical for real work. That is where the biggest value starts compounding.
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Dp Singh
Dp Singh@ViksitBharatAI·
This looks seriously promising. If Stitch can actually bridge the gap between raw ideas and production-ready UI with consistent design logic, that is a big shift. Most tools generate screens, but very few understand systems, spacing, and real product constraints. If you get that right, this becomes more than a design tool, it becomes a true build partner. Keen to see how deep it goes tomorrow.
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Stitch by Google
Stitch by Google@stitchbygoogle·
Tomorrow, we’re introducing you to your new vibe design partner. 🤝 Our biggest update ever drops tomorrow. 👀👇
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Dp Singh
Dp Singh@ViksitBharatAI·
This is the direction that actually matters. Auto-testing with real user flows via Playwright is a step change, not a feature. If this keeps improving, the real unlock is reducing the gap between “idea → working product” without needing a full QA layer. That is where most projects slow down or break. One question though How reliable is the bug fixing loop in edge cases or complex state transitions? That is usually where these systems struggle. If you solve that properly, this becomes a serious builder stack, not just a demo tool.
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Computer
Computer@AskPerplexity·
We just shipped several upgrades to building web apps with Perplexity Computer. New projects are now automatically tested using Playwright. It navigates your app like a real user to identify and fix bugs before you ever see them. Build, test, fix, ship. All in one place.
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Dp Singh
Dp Singh@ViksitBharatAI·
@X Yes it is
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X@X·
tomorrow is a brand new day
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Dp Singh
Dp Singh@ViksitBharatAI·
I think the shift is less about raw capability and more about how natural the interaction feels. 5.3 was already strong at execution. 5.4 feels easier to work with. Better judgment, better context handling, and fewer corrections needed mid workflow. That compounds fast in real use. You stop babysitting the model and start trusting it to carry parts of the task. If that trend continues, the real unlock is not better answers. It is fewer interventions.
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Dp Singh
Dp Singh@ViksitBharatAI·
@AravSrinivas Shipping with rough edges and fixing live takes more courage than waiting for perfect. Billing and connectors are exactly the kind of boring infrastructure that compounds over time. Excited to see how this evolves.
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
With the iOS, Android, and Comet rollout, Perplexity Computer is the most widely deployed orchestra of agents by far. There are rough edges in frontend, connectors, billing and infrastructure that will be addressed in the coming days.
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Dp Singh
Dp Singh@ViksitBharatAI·
Love the direction this is going. Giving the agent control of the local browser removes a lot of friction compared to connectors and MCP setups. The only challenge right now is limits. I can burn through my Perplexity credits after just a couple of serious tasks. If this kind of workflow becomes common, higher or flexible limits will become just as important as the capability itself.
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
Computer can now use your local browser Comet as a tool. Which makes it possible for Computer to do anything, even without connectors or MCPs. This is a unique advantage Computer possesses that no other tool on the market can match.
Perplexity@perplexity_ai

Computer can now take full control of Comet to complete tasks. When you’re in Comet, Computer spins up a browser agent that can access any site or logged‑in app with your permission, without the need for connectors or MCPs. Available to all Computer users on Comet.

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