Getting your first outside cheque is a major milestone for any founder. 💰

But where does that first money usually come from?

Vote below and share your experience.

If you’ve already raised funding, tell us in the comments:

How long did it take from your first conversation with the investor to the money actually reaching your bank account?

It would be interesting to see how different founders approached their first raise.

","tags",[185,186],"upvote_count",10,"comment_count","channel_slug","fundraising-india","created_at","2026-09-17T12:30:28.991Z","updated_at","2026-10-13T13:41:59.366Z","image_url","video_url","discussion_type","poll","problem_status","problem_summary","expected_behavior","actual_behavior","what_i_tried","accepted_comment_id","reposted_from_id","repost_comment","language","en","variant_group_id","2fde34e9-3c96-49de-b4fa-1a43339bf0d6","audience","public","prompt_text","poll_options",[174,175,176,177,178],"display_name","Kavya Nair","username","kavyanair_","avatar_url","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/46efb629371b801b4d8a4f55768737b0cead3c092b098fed0e000809e1c9fb4f.jpg","author_role","author_public_page",true,"reactions",[179],{"_169":170,"_171":98,"_172":-5,"_173":-5},"category_id","f8a7a131-07a4-434c-9f70-fdb34e30f5a2","category_slug","opportunities","category_label","Opportunities","available_languages",[119],"repost_count","repost_original_video_url","author_flair",{"_153":154,"_155":156,"_157":158,"_159":160,"_161":162},"author",{"_127":128,"_131":132},"level",3,"level_title","Regular","level_progress",0.04,"league","silver","top_badge",{"_163":164,"_23":165,"_166":160,"_167":168},"key","early-bird","Early Bird","tier","category","onboarding","options",[174,175,176,177,178],"total_votes","my_vote","results","Family or friends","Angel investor or angel network","Grant, incubator or accelerator","VC fund","Still bootstrapped",{"_180":181,"_182":98,"_183":16,"_184":-5},"emoji","❤️","count","reacted","reactionId","finance","business","c711c073-b42c-442e-a30d-2fba9fd038d5","9af5c06e-b257-4a2c-b25c-d5595648cb0d"," a hindi voice agent that answers calls for small businesses","

an AI voice agent that picks up calls for clinics, coaching centres and local shops. It speaks Hindi and English, books appointments and answers common questions, for ₹1,499 a month.

To get you started:

Platform risk is real. Google's newest live voice model switches between 97 supported languages mid-conversation and is rolling out to developers now. If the voice itself is a commodity, what's left for you to own?
Retention is hard. Small businesses are slow to adopt and quick to cancel. What keeps them paying in month three?
The moat might be the boring stuff: calendar and billing integrations, local sales teams, and call flows built for one industry.

Would you build this in 2026? What would you change first?

",[],5,"roast-my-idea","2026-09-17T13:30:34.240Z","2026-10-13T13:41:19.481Z","general","c01a5040-7db1-477a-b366-a8f56b1bef39","Arjun Yadav","arjunyadav07","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/35256e75b29f2036e170fffce39e962442135e65e00b0a860dc784bf5819185b.jpg",[213],"df6380c9-b127-41da-9992-580d705c9e5b","discuss","Discuss",[119],{"_153":154,"_155":156,"_157":208,"_159":160,"_161":209},{"_127":198,"_131":200},0.54,{"_163":210,"_23":211,"_166":160,"_167":212},"conversationalist","Conversationalist","contribution",{"_180":181,"_182":98,"_183":16,"_184":-5},"9ede36ff-cd7b-47f3-8db5-9035f091d69b","7001aea2-ac80-4b61-8e3d-1876c337b57d","First-time founder here. I've built the entire product from scratch. Now I have no idea how to get customer #1","

I understand the basic flow: product → ICP → prospects → outreach → calls → close.

But what does this actually look like at 0 → 1?

I’ve built a developer tool in the observability space, so my target users are developers and engineering teams. The product is built, but now I’m trying to figure out the most practical way to get customer #1.

The general advice around this usually involves a lot of expensive GTM tools, which frankly I don’t think I need at this point.

I’d love to hear from founders who are currently at a similar stage:

What tools, channels, or tactics are you actually using to land your first few customers?

Looking specifically for practical 0 → 1 GTM advice, rather than a long list of tools I should buy.

",[],13,"gtm-distribution","2026-09-18T05:34:38.286Z","2026-10-13T13:40:32.722Z","97bf1364-531a-4ff3-981e-ff86d58dac4f","Anvesha Shukla","anvesha_shukla_6e8e02",[235],[119],{"_153":230,"_155":231,"_157":232,"_159":233,"_161":234},{"_127":224,"_131":-5},2,"Member",0.71,"bronze",{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":219,"_183":16,"_184":-5},"5cdcb9ed-bbf5-4eef-bc23-a1964974310a","fba9ffe8-8a9e-4a3e-8696-140c0a212086","Sales & GTM | Exploring AI, Data & Business Growth","

Hello everyone, I’m Pradyut.

I bring 21+ years of experience in Sales, Business Development and GTM, with extensive experience across building materials, cement, steel/TMT and channel-led businesses.

My current focus is at the intersection of GTM, revenue growth, data/Power BI and AI-powered business automation.

I’m particularly interested in how founders and growing businesses can solve practical commercial problems — identifying the right market and customers, building effective channels, improving sales execution, and using data and AI to make better business decisions.

I’ve joined this community to learn from founders building real businesses, exchange practical experiences, and explore how AI can be applied beyond technology — especially to sales, GTM and revenue growth.

Looking forward to learning from everyone here.

",14,4,"introductions","2026-09-18T05:57:31.533Z","2026-10-13T13:39:43.835Z","3a5e90d5-b104-47bc-bce7-a678e4b92ed2","Pradyut Chakraborty","pradyut_chakra_f36afc",[257],"820b0278-1bdb-40af-afbc-d1fd39e9157f","start-here","Start Here",[119],{"_153":154,"_155":156,"_157":255,"_159":160,"_161":256},{"_127":246,"_131":-5},0.21,{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":240,"_183":16,"_184":-5},"9d6b4a0c-cb3b-4214-8f72-cb9c9fff0a32","AI Can Talk. Can It Actually Run a Business?","

I’ve been thinking more about the Hindi voice agent idea from my last post.

The more I think about it, the less I’d want to build it as a general AI voice agent.

I’d probably start with one specific industry, like clinics.

Instead of just answering calls, it could handle appointment booking, common patient questions, reminders, and missed-call follow-ups.

Because the real question isn’t whether we can build an AI that talks, that part is becoming easier.

The harder part is making a small business actually depend on it.

If a clinic is paying ₹1,499 every month, the agent needs to either save staff time, recover missed calls, or bring in more appointments.

That’s where I think the real moat could be — not the voice, but the workflows, integrations, and industry-specific knowledge.

Would you build it for one industry first or keep it general?

",[271,272,273,274,275],"2026-09-19T12:15:35.941Z","2026-10-08T12:14:08.567Z","c95bdd26-9c5e-4039-957d-a0d353b319b1",[270],[119],{"_153":154,"_155":156,"_157":208,"_159":160,"_161":269},{"_127":198,"_131":200},{"_163":210,"_23":211,"_166":160,"_167":212},{"_180":181,"_182":98,"_183":16,"_184":-5},"ai","trending","skills","voice-agent","automation","237d5913-4859-43e8-9fca-d37130ba079f","eeccef97-d75c-4629-a5b5-903527c26a02","Maybe India Doesn’t Need Another OpenAI","

After my last post I did some research on this because I wanted to understand whether India is actually building its own AI or we are mostly using models built somewhere else.

That’s when I came across Sarvam AI.

What I found interesting is that they are building AI specifically around Indian languages and the way people in India actually use them. Their models cover Indian languages across speech to text text to speech translation document AI and LLMs.

They also work on things like code mixed speech which is actually a big part of how people communicate in India.

This made me think differently about my last question.

Maybe India does not need to build another copy of OpenAI.

Maybe the bigger opportunity is to build AI that understands India better than anyone else.

Sarvam is one example that makes me think we are already moving in that direction.

But the bigger question still remains.

Can an Indian AI company take this from solving Indian problems to competing globally?

",[271,299],"build-in-public","2026-09-20T13:00:05.546Z","2026-10-01T12:51:11.419Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/744d49df93507ba9c289c44bbcc7a491339fee5ef7e7a7a0663cc73167a17f82.png","ac582bea-63b5-464c-bf3e-e92d29b803f0","Ravi","lomin59","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/814ea279669e7e66fb73eb8d9afd7736143ad6b41478b116574c1c32c233d2b6.jpg",[298],"02754d43-85d7-4b94-b006-b9ef3f79456e","build","Build",[119],{"_153":154,"_155":156,"_157":296,"_159":160,"_161":297},{"_127":286,"_131":288},0.59,{"_163":210,"_23":211,"_166":160,"_167":212},{"_180":181,"_182":98,"_183":16,"_184":-5},"india","4183fb3b-038c-466d-a6ce-4185ccfa0cb7","1f0de751-3ebf-4e36-b973-42cea2e07d37","Understanding the Real Cost of Building with AI","

One thing I’ve started paying more attention to while exploring AI products is the cost behind every AI interaction. We often focus on how powerful a model is or how good its output looks, but the economics become equally important when you build and scale an AI product. Factors such as token usage, model selection, infrastructure, context length, and compute costs can significantly affect the overall cost. I also learned that using the most powerful model for every task isn't always practical. Smaller models can handle simpler tasks efficiently, while advanced models can be reserved for more complex use cases. A cost that looks small for a single request can become a major expense when you're processing thousands or millions of requests. My key takeaway is that building a sustainable AI product requires balancing performance, user experience, and cost, not simply choosing the most powerful model available.

",[320,321,322,323,324,325],12,"ai-costs","2026-09-30T15:50:04.893Z","2026-10-12T05:35:19.285Z","b8b33845-c809-433a-9776-f1139ab40028","Rahul Malhotra","rahul20269","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/eed13b8b873ca31da74f70975b20a9710c7d1778cf346c87404aa478273debb8.jpg",[319],[119],{"_153":154,"_155":156,"_157":317,"_159":160,"_161":318},{"_127":310,"_131":312},0.25,{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":305,"_183":16,"_184":-5},"aiuniteconomics","artificialintelligence","generativeai","aiproducts","aiengineering","llm","789ccf28-c3e2-4d62-94a6-50924c6f77ef","I Built a Tool to Make AI Token Usage Simple","

Hi everyone. 👋

I’ve built Calculate Token, a tool for people working with AI and LLMs who want to understand their token usage more easily.

The idea came from a simple problem: when working with different AI models, it isn’t always easy to know how many tokens your text uses or how that affects usage and cost.

I’ve built the tool and now I’m looking for developers, AI builders, creators, and anyone experimenting with LLMs to try it and give me honest feedback.

If you find it useful, I’d really appreciate it if you could share it with someone who might find it helpful.

I’m still improving it, so feedback on what’s useful, what’s missing, and what I should improve would mean a lot.

🔗 Try Calculate Token:

Calculate Token

If you try it, what would you add or change?

",[271,341,342,343,344,345],7,"2026-10-05T13:20:00.108Z","2026-10-13T13:35:05.862Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/e3b14e113d62707f55ad2f1bc168a0531b12db16f8733dc9da3278920f445ca8.jpg","39884c4e-5497-4060-8d4e-31fb353eb4ae",[340],[119],{"_153":154,"_155":156,"_157":208,"_159":160,"_161":339},{"_127":198,"_131":200},{"_163":210,"_23":211,"_166":160,"_167":212},{"_180":181,"_182":330,"_183":16,"_184":-5},"ai-tools","calculate-token","promptengineering","saas","token-usage","db017484-4419-4ac1-8007-69c68983d629","66e9c2fa-27f9-4263-97a9-a33b60224a64","Market research in 2 minutes, with sources you can check","

Open Perplexity (https://www.perplexity.ai) and ask: \"Who are the top 5 competitors of [your product idea] in India?

Show their pricing, target customers and one weakness each. Include sources.\"

Then ask:

\"What are customers complaining about in their reviews?\"

Those complaints = your positioning.

Always click the sources and verify before you put any number in a pitch deck.

Founders: What's the most surprising thing you found about a competitor?

","2026-10-07T10:53:10.755Z","2026-10-13T13:34:19.697Z","20f410bd-c5d1-4256-b082-4b0574c18945","Vikram Joshi","vikramjoshi23","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/1e9192a0424a1275249b31e57bf43f50d5d66da71c78bffc6f8c8b1092cc845f.jpg",[364],[119],{"_153":241,"_155":360,"_157":361,"_159":362,"_161":363},{"_127":353,"_131":355},"Contributor",0.2,"gold",{"_163":210,"_23":211,"_166":160,"_167":212},{"_180":181,"_182":154,"_183":16,"_184":-5},"d72d1dc1-c417-4367-8b4c-e5e51e42d27d","c76565f7-11ad-42fd-8492-55e059b7b189","AI text watermark: why Claude and ChatGPT text may now carry a hidden mark","

Under the EU AI Act, AI-written text from Claude and ChatGPT is starting to carry an invisible watermark. You can't see it, and it doesn't change the words.

Can AI text watermarks be detected? Only by the company that added them, using its own tools. Heavy editing weakens them, and no watermark proves a human wrote the text.

#AIPolicy #EUAIAct #AIWatermark

","ai-policy","2026-10-07T13:10:41.933Z","2026-10-13T13:33:55.131Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/906f4d6733e7a17b7048799a439b0305b95bf312995991259dcf3a36b53b77b4.jpg","0a909510-8952-4783-9589-bf96a5894391","Priya Singh","priyasinghin","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/4efa639dff2bb77e6292a04a06316211d27de605d7b747468bea18a6e5c0daaf.jpg",[383,384],[119],{"_153":241,"_155":360,"_157":381,"_159":362,"_161":382},{"_127":374,"_131":376},0.19,{"_163":210,"_23":211,"_166":160,"_167":212},{"_180":181,"_182":230,"_183":16,"_184":-5},{"_180":385,"_182":52,"_183":16,"_184":-5},"👏","1da1775f-828a-4f79-bbcf-d03071244cb0","b7762646-a346-44ec-b788-2540d649f5bb","Building Uvilox AI: Real-Time Accessibility & Sign Language Translation","

Hi Tech Enthusiasts, Founders, and Developers! I'm Pallav Burnwal, Founder of Uvilox AI. We are building a real-time accessibility platform that eliminates global communication barriers. By combining computer vision models for sign language interpretation with low-latency eSIM and WebRTC media streaming infrastructure, Uvilox AI enables seamless, universally accessible communication for everyone, anywhere.

For this major build, I would like to work with a team to turn this into an expandable project, and I'm excited to collaborate with fellow builders here to bring it to life!

",[271,404,341,321,272,273],"2026-10-10T13:14:32.589Z","2026-10-12T05:34:46.296Z","12ca60fc-b904-47cb-ba1e-e29c1ab9d3f5","Pallav Burnwal","pallav_burnwal_8bf962","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/00de2f9f61444a62c66fe7828a28d769129ade49aa4f00765d914532856cf899.jpg",[403],[119],{"_153":154,"_155":156,"_157":401,"_159":160,"_161":402},{"_127":394,"_131":396},0.97,{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":230,"_183":16,"_184":-5},"career","e6f16fae-add8-4077-83b1-5e37045cbe26","Real-Time Sign Language Translation via WebRTC & Vision Models – Roast Uvilox AI!","

Hey founders! I'm building Uvilox AI, an AI accessibility platform that translates sign language (hand gestures via MediaPipe/TensorFlow) into spoken voice and text in real time during live WebRTC calls.

The Concept:

Problem: Over 430M people with hearing loss face major barriers in telehealth, emergency calls, and standard voice communication.
Solution: A sub-second gesture-to-speech translation layer embedded directly into browser/mobile video calls.

Where I want brutally honest feedback:

Technical Viability: Is sub-second computer vision inference over live video streams scalable without massive GPU costs?
Product-Market Fit: Would emergency services or telehealth providers integrate an API for this, or is direct-to-consumer mobile app the better route?
User Experience: What critical edge cases in real-time gesture recognition am I likely overlooking?

Tear the idea, architecture, or business model apart!

",[271,404,341,321,272],"2026-10-10T13:15:57.729Z","2026-10-12T05:34:48.741Z","7c012a8d-acd4-4091-bd70-919574c1db0f",[417],[119],{"_153":154,"_155":156,"_157":401,"_159":160,"_161":416},{"_127":394,"_131":396},{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":230,"_183":16,"_184":-5},"ea778229-7fc2-439d-8808-d66ce5d47766","GTM Strategy for an AI Accessibility Platform (Uvilox AI) – B2B vs. B2C","

Hey team! I’m working on the go-to-market approach for Uvilox AI, a real-time sign language interpretation and accessibility platform.

We are evaluating two primary distribution channels:

B2G / B2B: Partnering with emergency dispatch services (911/112), telehealth platforms, and customer call centers via SDKs/APIs to make their services accessible.
B2C: Direct mobile app rollout for deaf and hard-of-hearing communities to use during daily interactions.

I’d love to learn from founders who have navigated early distribution in accessibility tech or API-first products:

How did you land your first 10–20 B2B pilot customers?
Is offering a freemium consumer app effective for generating early traction before pitching B2B enterprise integrations?

",[271,341],"2026-10-10T13:16:45.704Z","47474c7c-22e4-4be7-9dab-f2414a4d1205",[],[119],{"_153":154,"_155":156,"_157":401,"_159":160,"_161":428},{"_127":394,"_131":396},{"_163":164,"_23":165,"_166":160,"_167":168},"2038c443-e6de-4ca5-b164-73db6546b552","Orchestrating Real-Time Multimodal Pipelines & Vision Latency in Uvilox AI","

Hi builders! At Uvilox AI, we are building low-latency, real-time pipelines that process hand-landmark computer vision models alongside Speech-to-Text (STT) and Text-to-Speech (TTS) streams.

Our Current Challenge & Tech Stack:

Stack: OpenCV, MediaPipe, TensorFlow/Keras, LiveKit, WebRTC, FastAPI.
Goal: Keeping frame extraction, landmark classification, and audio generation under 300ms to maintain natural conversation flow.

I’d love to discuss:

Best practices for optimizing multi-modal streaming latency in production.
Strategies for running lightweight vision classification models at the edge vs. server-side GPU orchestration.
Handling frame drops and asynchronous media buffers in real-time WebRTC streams.

",[271,404,443,322,324],"agents-and-rag","2026-10-10T13:18:00.323Z","2026-10-16T19:21:49.462Z","6c9b6d36-79fc-48b9-8cfa-4f8535482382",[442],[119],{"_153":154,"_155":156,"_157":401,"_159":160,"_161":441},{"_127":394,"_131":396},{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":230,"_183":16,"_184":-5},"signlanguage","dd564652-5162-44cb-badb-a1d629d5343d","Looking for Co-founders & Early Collaborators – Uvilox AI (Real-Time AI & WebRTC)","

Hi everyone! I'm Pallav Burnwal, solo founder of Uvilox AI. I am building a platform that translates sign language to speech/text in real-time to make communication universally accessible.

I've built the core prototype (using MediaPipe, TensorFlow, FastAPI, and LiveKit/WebRTC), and now I'm looking for passionate co-founders and early collaborators to build this with me.

Who I'm looking for:

Full-Stack / Mobile Engineers: Experience with React/Next.js, WebRTC streaming, or Native Android development.
ML Engineers: Experience in computer vision, gesture tracking, and optimizing models for low-latency inference.
Growth / GTM Co-founder: Someone excited about accessibility, partnerships, and launching impact-driven tech products.

If building high-impact AI technology excites you, let's connect and chat!

","hiring","2026-10-10T13:18:29.453Z","2026-10-12T12:26:12.610Z","4757fa2d-019f-453e-9192-94f843948935",[456],[119],{"_153":154,"_155":156,"_157":401,"_159":160,"_161":455},{"_127":394,"_131":396},{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":52,"_183":16,"_184":-5},"d4acb66f-978f-40ed-8f0a-e2a66bd0de34","Building Uvilox AI: Real-Time Sign Language Interpretation over WebRTC","

Building Uvilox AI: Real-Time Sign Language Interpretation over WebRTC

This week, we integrated hand-landmark detection pipelines using MediaPipe and TensorFlow for Indian Sign Language (ISL) recognition, alongside low-latency WebRTC and LiveKit streaming infrastructure to handle sub-second video processing. Managing video frame drops and inference latency over fluctuating mobile connections without disrupting real-time speech translation proved challenging, but we are moving forward to optimize gesture-to-speech models for edge execution and expand our closed beta test on Android.

Would love to hear how other founders in the community manage low-latency computer vision pipelines in production!

",[271,272,275,341,321],"2026-10-10T13:39:54.615Z","2026-10-16T19:21:25.480Z","1565ff81-28cb-44f6-9884-9995c71363e9",[469],[119],{"_153":154,"_155":156,"_157":401,"_159":160,"_161":468},{"_127":394,"_131":396},{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":154,"_183":16,"_184":-5},"515390b0-7b32-4740-9e57-35dae35424eb","Meta, Walmart and Stripe want AI agents to shop for you","

This week Meta and Sierra proposed a standard way for personal AI assistants to deal with businesses: browse, compare, pay. Walmart, Shopify and Stripe are launch partners.

Your next customer might be someone’s AI.

So here’s the real question for anyone running a website or D2C store: could an AI agent read your site and buy from it today? Worth checking.

Anyone already building for this?

","2026-10-10T16:06:46.677Z","2026-10-12T09:32:40.623Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/06f2ac55e8afd9da505e25c8ae31fbf7afa0de5cd3a0151019208d48bcacd1d3.jpg","07795a2a-18b2-4dc8-ac19-cec17abf5bdf",[482],[119],{"_153":241,"_155":360,"_157":361,"_159":362,"_161":481},{"_127":353,"_131":355},{"_163":210,"_23":211,"_166":160,"_167":212},{"_180":181,"_182":52,"_183":16,"_184":-5},"4faa7c89-6ba5-4959-9826-dd60cd17af5b","7d67a570-10b7-4be2-a16a-90a742b02cc2","I built a free tool to find outliers in Instagram and YouTube content","

As a creator or marketer, researching high-performing content can mean manually scrolling through hundreds of posts.

I built RankKiwi to make that process easier.

It’s a free Chrome extension that helps you:

Find breakout Instagram Reels and YouTube videos
Compare views against a creator’s typical performance
Filter content by views, type, and date
Export research to CSV or JSON

I’d love to hear from creators, marketers, and content researchers.

How do you currently research high-performing content, and what would make this process easier for you?

I’m looking forward to hearing your thoughts and improving the tool based on real feedback.

",[271,341,272,275,502,503],"2026-10-10T17:27:55.538Z","2026-10-12T12:20:56.628Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/ebb08edc00d86363cff032bc89e394bb94f10408062671ecd551bd22fcfe705f.jpg","fe654bbf-a225-4521-a2d0-eaae32a81672","Bhavishya Singla","bhavishya_sing_1a793e","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/a6e579e71cacd87c51fccd50fb7bb60af397c96d7010ae1a858b0b151a725235.jpg",[501],[119],{"_153":154,"_155":156,"_157":499,"_159":233,"_161":500},{"_127":492,"_131":494},0.03,{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":154,"_183":16,"_184":-5},"problem-solving","digitalmarketing","57357c84-9813-4e85-8c36-4f85bb56213b","Building RankKiwi — A Free Tool for Creator Research","

Hey everyone! I'm Bhavishya, a computer engineering student and builder interested in AI, marketing, and building useful products.

Recently, I launched RankKiwi, a free Chrome extension that helps creators and marketers research content on Instagram and YouTube.

It scans visible posts and videos, calculates an Outlier Score against a creator's typical views, and helps identify content that performs exceptionally well. You can also filter results and export your research to CSV or JSON.

I'm currently focused on getting real users, collecting feedback, and improving the product based on how people actually use it.

I'd love to connect with fellow founders and builders here!

Two questions for the community:

How do you currently research viral content in your niche?
What's the biggest challenge you face when analysing competitors or creator content?

You can check out RankKiwi here: https://rankkiwi.com/

Looking forward to learning from everyone!

",[271,341,272,321,519],"2026-10-10T17:29:58.439Z","2026-10-16T12:07:22.907Z","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/post_image/b6cc83f05767dab16395ed780845ddb9bf2d1075ba05431254e086d56f6ac454.jpg","df9229a1-d5ea-4858-9f04-61452d029b89",[517,518],[119],{"_153":154,"_155":156,"_157":499,"_159":233,"_161":516},{"_127":492,"_131":494},{"_163":164,"_23":165,"_166":160,"_167":168},{"_180":181,"_182":241,"_183":16,"_184":-5},{"_180":385,"_182":52,"_183":16,"_184":-5},"students","c4474388-a288-4f86-a59d-506d5aa28c7b","f3e3c411-ce0b-49f8-934d-d6b67b735ab8","Find Open-Source Alternatives to Any SaaS","

OpenAlternative streamlines that by mapping popular commercial software directly to proven open-source equivalents (like Supabase for Firebase or Excalidraw for Miro).

What makes it practical:

Project health at a glance: Displays GitHub star counts, latest commit dates, and software licenses directly on each listing.
Direct replacement search: Lets you search by the exact commercial product you want to replace.
Granular filters: Narrow down tools by category, tech stack (Next.js, Python, Docker, Go), and license type (MIT, Apache, AGPL).
Curated collections: Highlights trending releases, AI-native tools, and self-hosted workflows.

If you're looking to cut subscription overhead or regain full control over your data, it's a great bookmark.

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hallucination\ncontrol, orchestration.","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/channel_icon/d1c9a5a2d15d04e24fce08595244522ad5e3556c1250092486ec9a71f52f4fab.png","2026-09-09T10:49:01.349Z","2026-09-10T09:00:14.016Z",[595,596,597,598,599],{"_131":586,"_127":587},{"_131":603,"_127":604},{"_131":-5,"_127":602},{"_131":-5,"_127":601},{"_131":-5,"_127":600},"Selva Preethi","Bhaskar Gn","Bhavesh Patel","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/bc2290f48abb4df31c76c53df7c6c2789b9bd87737ff2652b225e475c6c14edf.jpg","Yash Sonker","bb9d8ac8-059a-40c9-bffb-7a8688078028","AI Policy & Compliance","DPDP Act, MeitY guidelines, EU AI\nAct, data handling for AI products","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/channel_icon/e901ff598ea1ca6e6215f1bd016d1373c7c642df1ec6976d6c08462bdd866c67.png","2026-09-09T10:47:50.435Z","2026-09-09T13:24:44.332Z",6,[613,614,615,616,617],{"_131":586,"_127":587},{"_131":603,"_127":604},{"_131":312,"_127":310},{"_131":376,"_127":374},{"_131":396,"_127":394},"c5f1a134-102a-411d-9d40-89141b8a7cbe","GTM & First 100 Customers","Distribution, sales, pricing\nexperiments, early customer\nacquisition.","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/channel_icon/6b00da489c27bfefcfe83d94eb6eaf5920018f7709911a3469a9aa685d0ffa10.png","2026-09-09T10:46:10.353Z","2026-09-09T13:02:25.263Z",9,[626,627,628,629,630],{"_131":586,"_127":587},{"_131":603,"_127":604},{"_131":-5,"_127":246},{"_131":-5,"_127":631},{"_131":312,"_127":310},"Adarsh kumar","cc27c2c1-6d87-4457-8312-0a900eccf105","Fundraising India","Angel and seed rounds, term sheets,\ngrants, investor intros","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/channel_icon/fef868dfe38e38782cb2cb61f57ecbbbed9cc60d66a2aacae7f825b9adf8c08d.png","2026-09-09T10:45:14.570Z","2026-09-10T06:55:51.920Z",[639,640,641,642,643],{"_131":586,"_127":587},{"_131":603,"_127":604},{"_131":647,"_127":648},{"_131":-5,"_127":646},{"_131":644,"_127":645},"avatar:graphic-2","Tarak Sonkar","R Mani","https://oneshopaicommunityin.blob.core.windows.net/avatars/avatar/26c5dc46731b48b3e53ddd0a91937518d29cc694b100fa6118a82e3df815f492.jpg","shubham","547b1967-5943-41b2-9888-28f7f7639447","Build in Public","What you shipped this week, what\nbroke, what you 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Feedback, not\napplause.","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/channel_icon/7fb5891b39275cc68a47669af9fee2d844ba2d6b7db7faaa01cf23bfa3f43ab4.png","2026-09-09T10:33:17.191Z","2026-09-10T08:59:46.339Z",[682,683,684,685,686],{"_131":586,"_127":587},{"_131":603,"_127":604},{"_131":288,"_127":286},{"_131":-5,"_127":246},{"_131":-5,"_127":662},"dcb9a14d-20e1-4e5d-bffd-5216800599e9","Introductions","Tell us what you're building, your\nstage, and what you need help with.","https://oneshopaicommunityin.blob.core.windows.net/discussion-images/channel_icon/b0f7d0fb49ab82359e483bdc8ebd58527446167c418c1edf2b833f68553499a0.jpg","2026-09-09T10:30:50.322Z","2026-09-09T11:02:05.499Z",18,[695,696,697,698,699],{"_131":586,"_127":587},{"_131":603,"_127":604},{"_131":584,"_127":585},{"_131":-5,"_127":674},{"_131":-5,"_127":700},"Sarthak",{"_49":705,"_51":52,"_53":706,"_54":-5,"_55":56,"_57":56,"_58":56,"_59":-5,"_60":-5,"_61":16,"_62":63,"_64":65},[704,46],"[\"community-categories\",\"ai-founders\"]","community-categories",[707,708,709,710],1792378864458,{"_86":249,"_90":46,"_559":250,"_19":251,"_21":563,"_564":56,"_565":135,"_102":714,"_104":714},{"_86":202,"_90":46,"_559":203,"_19":204,"_21":563,"_564":56,"_565":135,"_102":713,"_104":713},{"_86":290,"_90":46,"_559":291,"_19":292,"_21":563,"_564":56,"_565":135,"_102":712,"_104":712},{"_86":140,"_90":46,"_559":142,"_19":144,"_21":563,"_564":56,"_565":135,"_102":711,"_104":711},"2026-09-09T10:27:21.711Z","2026-09-09T10:27:03.666Z","2026-09-09T10:26:43.032Z","2026-09-09T10:26:27.883Z",{"_49":719,"_51":52,"_53":720,"_54":-5,"_55":56,"_57":56,"_58":56,"_59":-5,"_60":-5,"_61":16,"_62":63,"_64":65},[718],"[\"communities\"]","communities",[721,722,723,724,725,726],1792378864242,{"_86":807,"_559":46,"_23":24,"_21":25,"_730":808,"_564":52,"_565":135,"_732":16,"_733":809},{"_86":793,"_559":794,"_23":795,"_21":796,"_730":797,"_564":230,"_565":135,"_732":16,"_733":798},{"_86":787,"_559":788,"_23":789,"_21":790,"_730":791,"_564":154,"_565":135,"_732":16,"_733":792},{"_86":770,"_559":771,"_23":772,"_21":773,"_730":774,"_564":241,"_565":135,"_732":16,"_733":775},{"_86":753,"_559":754,"_23":755,"_21":756,"_730":757,"_564":192,"_565":135,"_732":135,"_733":758},{"_86":727,"_559":728,"_23":729,"_21":563,"_730":731,"_564":330,"_565":135,"_732":135,"_733":734},"f7f5ce98-e6f3-49fc-aea7-246924f9a927","retail","Retail 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AI Costs & Unit Economics

AI Costs & Unit Economics