Shailesh Jaiswal

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Shailesh Jaiswal

Shailesh Jaiswal

@Shaileshjswl

Building @LiaPlus_AI | Prompt engineer | @UnivofDelhi alumna.

Delhi, India Katılım Temmuz 2018
2.3K Takip Edilen273 Takipçiler
Shailesh Jaiswal retweetledi
Shark
Shark@fintech_shark·
I’m not joking and this isn’t funny. Friend has been trying to have a baby since last year. There are various options, not everyone is aligned. He gave Claude Code a description of the problem, it impregnated his wife in an hour. Gynaecologists are gonna be redundant by AI.
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Arnav Bansal ⠕
Arnav Bansal ⠕@itsarnavb·
Yesterday I tweeted about visualizing dark stores density in Indian cities using an isochrone map And @anupbhat30 made this in just under an hour! Almost everyone lives a 10 min bike ride away from a dark store. The highest density areas are in fact 10 minutes away on *foot* The surprising find is that there's often multiple stores of the same vendor within a 10 minute bike ride. See it yourself: darkstoremap.in
Deepinder Goyal@deepigoyal

One more thing. Our 10 minute delivery promise is enabled by the density of stores around your homes. It’s not enabled by asking delivery partners to drive fast. Delivery partners don’t even have a timer on their app to indicate what was the original time promised to the customer. After you place your order on Blinkit, it is picked and packed within 2.5 minutes. And then the rider drives an average of under 2kms in about 8 minutes. That's an average of 15kmph. I understand why everybody thinks why 10 minutes must be risking lives, because it is indeed hard to imagine the sheer complexity of the system design which enables quick deliveries. Also, if you've ever wanted to know why millions of Indians voluntarily take up platform work and sometimes even prefer it to regular jobs, JUST ASK any rider partner when you get your next food or grocery order. You will be humbled by how rational and honest they will be with you. Having said that, no system is perfect, and we are all for making it better than today. However, it is far from what it is being portrayed on social media by people who don't understand how our system works and why. If I were outside the system, I would also believe that gig workers are being exploited, but that's not true.

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Adam Rahman
Adam Rahman@AdamrahmanGTM·
AI does 90% of our initial GTM strategy formulation all in just these 6 prompts. This has been a MASSIVE unlock for speed to winning GTM for our diverse client base. (Comment "Prompts" and I'll DM you a document with all of the prompts.) Here’s what these prompts cover: 1/ Deep Market Research This prompt pulls all relevant information specific to what would be useful for GTM knowledge for the company you're looking to develop a GTM strategy for. The purpose of generating this information is to use it as context for future prompting. 2/ TAM Mapping This prompt will discover all relevant industries & sub-industries that your company could work with, plus statistics on general market size, industry value, and industry growth rates. Outputs from this prompt will also be useful context for other prompts. 3/ ICP Validation This prompt will develop ICPs from the industries uncovered from the TAM Mapping output. It will score each industry segment from highest to lowest priority, find the best fit personas from each industry segment, outline their specific needs & pain points, and craft some messaging ideas around this information. 4/ Company Account Sourcing This deep research prompt will find unique databases for any set of company data that you are looking for. From online directories, to scraping methods, to other niche paid databases - this prompt will give you a list of best fit options for your particular targeting case. 5/ Targeting Keywords Generation This prompt will generate a list of relevant industry and persona keywords to use for specific database filtering for when your developing lists in tools like Apollo. These keywords are typically a lot more accurate than using the general industry filtering. 6/ Messaging Creation This prompt will create multiple email script variations based on the context generated from previous prompts. It'll create unique variations on length of the emails, different offers, pain points, case studies, and complexity. Want these copy-and-paste prompts for yourself? Comment "Prompts" and I'll DM you a document with all of the prompts. (Must be following to receive)
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Invideo
Invideo@invideoOfficial·
Don’t lose your bananas (yet). Nano Banana Pro is FREE for 365 days on invideo - and unlimited - for all paid-plan signups before Nov 27. RT + comment “Banana” for a shot at our highest plan + $1000 credits. Okay, now go lose your bananas.
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Dudes Posting Their W’s
Dudes Posting Their W’s@DudespostingWs·
Dude going 120mph pulls himself over after speeding by a cop...
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Naufal Nugroho
Naufal Nugroho@gtmskool·
I generated over $4million in pipeline for clients last year across 20 clients last year. Today i'm giving away our GTM survival pack of: Clay Tables, Make blueprints, AI prompts and cold email frame works. Like and comment "GTM" and i'll DM it to you.
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Christian
Christian@coldemailchris·
I automated our entire campaign formulation process from in-depth market research -> cold email script writing with just AI. And today, I’m leaking the exact prompting methods I use to do this. These prompts automate everything from: > TAM analysis > Industry segmentation > Best-fit Persona discovery > Uncovering ICP pain points > Crafting 1-of-1 offers for each individual persona’s pain points & needs > Writing full scripts around these angles using proven cold email frameworks And organizing all important datapoints into a cleanly parsed CSV file. Like & comment “AI” and I’ll send over a document outlining our entire AI prompting protocol for automating this process.
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Shailesh Jaiswal
Shailesh Jaiswal@Shaileshjswl·
Talking to your computer about your work issues is the new normal.
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Ian Nuttall
Ian Nuttall@iannuttall·
what’s the best mac app to chat with any llm?
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Shailesh Jaiswal retweetledi
Paras Chopra
Paras Chopra@paraschopra·
I’m increasingly convinced that one can go 10x faster in life and projects without a corresponding increase in stress if one decides quickly and reflects regularly.
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Shailesh Jaiswal
Shailesh Jaiswal@Shaileshjswl·
@reach_vb This is excellent, thanks for sharing, @reach_vb :) Do you know of any open source TTS model which works in 1) Arabic 2) Afrikaans & Zulu
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Vaibhav (VB) Srivastav
Vaibhav (VB) Srivastav@reach_vb·
HOLY SHITT! Llasa TTS - Llama 3.2 fine-tune with ultra realistic audio 🔥 > supports voice cloning in English + Chinese > trained on 250K hours of audio > 1B, 3B model (8B soon) > emotional speech (happy, angry, sad, whisper) > open weights & works with transformers/ vllm
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Shailesh Jaiswal retweetledi
Tom Dörr
Tom Dörr@tom_doerr·
Recently became much more productive with LLM coding assistants. Might be because I created a proper instructions markdown file that I add to the context
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Shailesh Jaiswal retweetledi
Melvin Vivas
Melvin Vivas@donvito·
A lot of people are asking me about prompting with bolt.new, @cursor_ai, Claude, ChatGPT or other AI tools. Here's a list of resources to get you up to speed with prompting so you can make better and effective prompts. A thread
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Shailesh Jaiswal retweetledi
Melvin Vivas
Melvin Vivas@donvito·
I use bolt.new everyday to create frontend code for apps. Here are some tips for building apps with bolt. A thread
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Shailesh Jaiswal retweetledi
Usama Syed, MD
Usama Syed, MD@usamasyedMD·
My team and I are so excited to be part of @ycombinator Fall Cohort working on the most important problem in the world - healthcare. Our company, OpenClinic, helps doctors launch their own digital clinics that are 99% AI and 1% doctor. This unlocks millions of latent doctor hours worldwide, bridging the supply/demand mismatch that has always plagued healthcare. It’s an incredibly tough challenge, but as a team including 3 medical doctors, we know there’s nobody better to do it. DMs open if anyone has questions!
Usama Syed, MD tweet mediaUsama Syed, MD tweet media
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Shailesh Jaiswal retweetledi
Kevin William David
Kevin William David@kevinwdavid·
From @sequoia post on the beginning of "The Agentic Reasoning Era" by @gradypb & @sonyatweetybird: The cloud transition was software-as-a-service. Software companies became cloud service providers. This was a $350B opportunity. Thanks to agentic reasoning, the AI transition is service-as-a-software. Software companies turn labor into software. That means the addressable market is not the software market, but the services market measured in the trillions of dollars.
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