Rushithaa M

@CommandCodeAI SDK?

Yes $1 Go plan is cool. But more is coming. Noon 12pm Monday, 1st June. Command Code deal drop. This one is gonna be crazy good!!

@Gamingtronium 0.87 $ model

This is why AI will never replace mathematicians

@thisis_drgsp Its clue that new airport will be on kanakapura road. Enjoy

So now two international teams have to travel 2 to 3 hrs from Devanahalli to electronic City to stay in some 4 star hotel like ottera after landing in Bengaluru and then go to Anekal for another 45mins to one hour Who plans like this 😭😭😭 Why can't they find place near airport

ElevenLabs and WisprFlow just lost their Moat! Someone just open-sourced a 100% local version called Voicebox. → Clone any voice from 3 seconds of audio → 7 TTS engines, 23 languages, zero cloud dependency → Built-in MCP server: Claude Code, Cursor, and Cline speak back in your cloned voice → Local LLM rewrites your script in-character before TTS even fires → Pedalboard effects (reverb, pitch shift, chorus) baked in ElevenLabs charges $99/month for this. WisprFlow charges $15. The moat was never the technology. It was friction. One open-source dev just removed the friction. Built on Tauri (Rust). Runs on MLX, CUDA, ROCm, and CPU. No Electron. No cloud. No bill. 100% Open Source. MIT License.

@theodormarcu We are building AI driven real estate project

Have a few more Max subscriptions to give out to folks if you missed this! Just reply and DM me :)

@MattSchrage We are building Ai driven property search ..

If you missed this, I have a few extra Max plans to give out. 👀 What would you build if you had SWE 1.6 Fast in the Devin CLI?

@leojrr @devops_nk Send me some please 9.9k credits.. am fan of anything

we want more followers on IG i'm dropping Anything credits to everyone who follows us could be 5k could be 100k reply if you want some

@kilocode @ProductHunt Marvelous, we need credits to celebrate 🥳 🎉

We just launched Kilo Code v7 for VS Code on @ProductHunt. Completely rebuilt on OpenCode server. Parallel agents, inline diff reviewer, multi-model comparisons, subagent delegation. Help us climb the leaderboard today! producthunt.com/products/kiloc…

@striver_79 Perealtors.com

Looking for a 2BHK in or around HSR Layout, preferably in a gated society. If you have any leads or broker contacts, please do share. Would really appreciate the help 🙏🏻

@venkatofl @unosendco Website says 200 emails a day, please clarify

Stop overpaying for email. Switch to @unosendco → 5,000 emails/mo free → Unlimited domains - no extra charge → Transactional emails → DKIM signing built-in → API + SMTP ready in 30 seconds → Starting at $0/mo One API. Infinite Emails.

@ANI So basically, if you aren't able to solve a problem, then add other people to the meeting and make it everyone's problem.

@niraj_munot Buildalgos

@dealztrendz Thanks received bro

Sorry for the inconvenience due to the cashback delay. The cashback has now started crediting to bank accounts, so please check.

@dealztrendz Bro, I didn't received UPI cash back. Can you check DM

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@alexgroberman Chatgpt chea codes

A study of 60,000+ sites just revealed the 5 main secrets to getting traffic from ChatGPT, Perplexity and Google AI Search. It also validated a lot of what SEO Stuff (seo-stuff.com) has been doing for customers in 2025. Now that none of this is a secret anymore, let’s discuss it together. Ahrefs just released a study across 60,000 websites and 750 “best X” prompts that answers a simple question: What does it actually take to get traffic from ChatGPT in 2025? Before I walk you through what Ahrefs found and how to use it… If you want a few cheat codes for getting your brand mentioned inside ChatGPT within the next 30 days, just RT this, follow me, and reply “ChatGPT cheat codes.” I will DM them to you. You must do all 3 for the DM. Alright, let’s talk about what Ahrefs actually found. Across software, product, and agency queries, they looked at 750 top-of-funnel prompts like: “Best CRM software for enterprise” “Best entry level DSLR” “Best web design agencies in London” Then they analyzed every source ChatGPT used in its answers and categorized the pages. Here is what showed up. First, “best X” comparison lists dominated everything. Across all the source links, 43.8% were “best X” blog lists. Not landing pages. Not random blog posts. Not AI spam. Actual comparison lists like: “Best project management tools” “Top email marketing platforms” “Best AI detectors, tested and compared” You will recall, I have been ringing this bell for a long time. You can review some of my posts from the last few days, weeks, and months for separate examples of why this sort of content is doing so well right now. Next, there was a clear pattern in how those lists influenced recommendations. When ChatGPT recommended a brand, Ahrefs looked at where that brand was positioned inside the cited lists. The result was very simple. Brands that ranked near the top of those lists got recommended more. When they sliced it by top, middle, and bottom third, the top third won. So in plain English: If you are buried at the bottom of comparison lists, you are much less likely to be suggested by AI. Third, freshness is not optional. Ahrefs took a clean subset of 1,100 “best X” lists and checked publish or update dates. 79.1% were updated in 2025. 26% were updated in just the last 2 months. More lists had been updated than left untouched. So if your “best X” page still says “Updated 2022,” do not be surprised when ChatGPT pulls a fresher competitor article instead. Fourth, low-authority sites are still getting cited, but that window will not stay open forever. Ahrefs found that 35% of cited “best X” lists lived on low-authority domains. Many of them looked like they were created purely for citations or link schemes. Right now, AI assistants are still leaning on them. Over time, as trust and quality signals improve, that left side of the chart is going to shrink. So you have an opportunity. Replace low-quality comparison lists with your own brand as the canonical source before AI systems clean house. Fifth, the type of first-party page that gets cited depends on the category. For software and agencies: When ChatGPT recommended a brand, internal landing pages were more likely to show up than the homepage or that brand’s own comparison list. For products: Straight-up product pages dominated. So you need both sides covered. You need comparison lists that train AI on who is in the market. And you need clear, extractable landing pages or product pages AI can safely recommend and link to. This is exactly where SEO Stuff (seo-stuff.com) maps to reality. Here is how the main SEO Stuff packages align with what Ahrefs just documented. The Gold Plan seo-stuff.com/gold-plan-pack… You get: 10 long-form articles built to rank as “best X” and “top X” Comparison content structured for extraction Question-based H2s with 2 to 3 sentence answers under each TLDR summaries at the top Clean HTML and internal linking Product and service schema where relevant 3 DR50+ backlinks so your domain has enough authority to be taken seriously Ahrefs literally just confirmed that comparison lists and authority sit at the center of ChatGPT citations. The Gold Plan gives you both. The Premium Content Bundle seo-stuff.com/premium-conten… You get: 60 comparison-driven articles that cover your entire category Deep, long-form content in the 1,900 to 2,900+ word range Section lengths and structure aligned with how LLMs consume content Internal linking that connects all content into a clear topical map Ahrefs found that “best X” lists made up 43.8% of sources and that depth and coverage matter more than clever wording. The Premium Content Bundle is essentially a build-your-own AI training set for your brand. The Premium Backlink Bundle seo-stuff.com/premium-backli… You get: 3 DR50+ backlinks from real business sites with existing traffic and trust Domain-level reinforcement that tells AI systems your site is legitimate Stronger homepage and brand authority so you are not stuck in the low-authority 35% bucket Ahrefs identified Ahrefs made it very clear that many low-authority sites are still getting cited today. You can either let questionable domains define your category or use authority to replace them. Here is the bigger picture: ChatGPT sends 8 to 9x more traffic than the next AI platform. “Best X” lists dominate its source set. Fresh, updated content is rewarded. And for software and agencies, landing pages still matter when AI decides what to actually link to. SEO Stuff (seo-stuff.com) was built directly around that reality. If AI is replacing the first click, your content and comparison pages must replace the first impression. If you want cheat codes for getting your brand mentioned inside ChatGPT in the next 30 days, RT this, follow me, and reply “ChatGPT cheat codes.” You must do all 3 for the DM.

@alexgroberman LinkedIn growth guide

I created my LinkedIn account 55 weeks ago. Since then I’ve added $200K in direct rev, ~11,000 connections and 4M impressions. LinkedIn is *still* one of the strongest sources of inbound for anyone running a real business. Here is the system I’m using right now... Oh, and if you want the full cheat sheet with engagement group templates, carousel structures, DM workflows, and my posting system, follow me, repost this and reply “LinkedIn Growth Guide.” You must do all 3 to receive the DM. Alright, here is what I’m seeing consistently: Proof based content still outperforms everything else on average Posts that reveal a *real* metric, add a concise explanation and end with a business insight are money Results alone get cut off early in feeds, whereas results with explanation have viral potential Also, higher dwell time consistently correlates with broader distribution. Posts that invite discussion usually generate first hour signal. Structured prompts that tie to a real business problem drive replies. Questions that are too vague or generic generally underperform. First hour reply velocity from people outside your immediate network is still one of the most solid distribution signals. On-platform formats still beat outbound link posts. Text posts, carousels, native short video - it doesn't matter. All better than links on average. Link posts without setup get filtered even harder. If you must include a link, change the image. Also, topic authority compounds reach. Posting consistently around the same core topic strengthens how LinkedIn categorizes your profile. Basically, LinkedIn shows your content to people who already engage with that topic. That leads to higher first hour engagement. It also increases the chance that top comment gain visibility in adjacent feeds. Cross niche engagement expands early reach, by the way. Regularly engage in 2 to 3 adjacent topic areas with substantive comments. This increases early signals and pushes your posts into overlapping audience clusters. Shallow engagement (basically generic likes) has minimal impact. High value comments that add insight trigger more second level engagement. Reposting with a new hook is still effective when done correctly. Most of your connections never saw the original so it doesn't matter. Repost after 3 to 6 weeks with a tighter hook or updated context. Do not just fully recycle the same copy. Rewrite the angle and outcome. Also, encouraging meaningful replies that lead to replies to replies keeps a post active longer. Posts with multi level comment threads circulate for days longer than posts with single line responses. My current posting routine: I post 3 times per day, every day. Morning: Proof driven result or a strong point of view. Afternoon: Carousel, teardown, or case study. Evening: Lesson, system, or actionable walkthrough. Skipping a day consistently reduces reach the next 24 hours. Formats performing best right now: Carousels with a bold first slide tied to a clear outcome or pain point, 3 to 6 concise slides with steps or visuals and a final slide with a specific next step request. Short native videos under 60 seconds with subtitles. Start with a hook in the first 2 to 4 seconds. Walkthrough videos that do not rely on high production value outperform polished talking head formats when the information is specific and actionable. What is underperforming: Link out posts with no setup. Metrics without narrative context. Large unspaced text blocks. Generic observations that could apply to any creator. Posts where the author does not reply to comments in the first hour. Engagement strategy that is working right now: Comment on 20 to 30 posts per day with real insight tied to the post topic. Like 50 or more posts per day. Reply to every comment on your own posts within the first hour. DM 5 to 10 people per day with context first value tied to something they posted. Ask follow up questions inside comment threads to deepen engagement. Repeat engagement with the same people increases later session distribution. High performing hooks right now: “I started this account 55 weeks ago. Here is what $200,000 in revenue actually looks like.” “This 4 slide carousel booked 5 calls in 24 hours.” “If I had to rebuild my LinkedIn from zero today this is the exact system I would use.” “My 3 post per day system for consistent inbound right now.” “I made X this month from LinkedIn. Here is the breakdown.” Every hook must be backed by proof. Without proof, credibility collapses quickly. Here's your 30-day plan: Post 3 times per day with at least 1 proof based post. Comment on 20 to 30 posts daily with substance. Like 50 or more posts per day. Reply to every comment within the first hour. Repost a winner weekly with a new angle. DM 5 to 10 people per day with context first value. Track impressions, comment depth, leads and repeating commenters weekly. Test hooks, formats and timing every week. Run this system for 30 days. Screenshot your Day 31 results. Tag me when inbound starts. If you want the full cheat sheet, follow me, repost this, and reply “LinkedIn Growth Guide.” You must do all 3 to receive the DM.

Google just revealed how sites should be named if you want to show up in traditional + AI search results. This comes straight from Google's John Mueller. Someone complained that their site doesn’t show up when they search for *their own* site name. John’s response was blunt: If your “site name” is made up of generic, competitive keywords, Google does not assume people are looking for you. And that same logic now applies to AI search. It is also the exact problem that SEO Stuff (seo-stuff.com) has been helping businesses solve all year. Here’s the core idea in plain English: If your brand name looks like a keyword, Google treats it like a keyword. If it doesn’t uniquely identify you, AI won’t either. The example John gave: If your site is called something unique like “Aware_Yak6509 Productions,” and your homepage is indexed, then Google can reasonably rank you for that name. But if your site is called something like “best web online dot com” Google assumes the query is informational, not navigational. So your homepage doesn’t show. This is not a branding issue, but a search intent problem. And it gets worse in AI search. ChatGPT, Perplexity, and Google AI Overviews do not ask: “Which site has this name?” They ask: “Which entity best answers this question?” If your “brand” looks interchangeable with 500 other sites, you are a non-factor. This is why so many sites: Rank for content Get cited without clicks Or worse, get used without being named The AI understands the topic, but does not understand you. So heading into 2026... Your site name must: Be uniquely identifiable Be consistently referenced across the web Map cleanly to a real entity, not a keyword bucket Otherwise: Google won’t treat branded searches as navigational AI won’t associate your content with your brand Competitors get recommended instead of you This is exactly why SEO Stuff (seo-stuff.com) does not treat branding, SEO and AI visibility as separate problems. How SEO Stuff maps to this reality: SEO Stuff is built around entity reinforcement, not just rankings. The Gold Plan seo-stuff.com/gold-plan-pack… Content written to be extractable and attributable Clear entity naming across articles Question-based H2s that AI can quote cleanly Internal linking that reinforces brand-topic association DR50+ backlinks that teach Google and LLMs “this brand exists and matters” The Premium Content Bundle seo-stuff.com/premium-conten… 60 long-form, comparison-driven articles Designed to train AI systems on: Who you are What category you belong to When to mention you This is how you stop being “just another site” and start being a recognized entity The Premium Backlink Bundle seo-stuff.com/premium-backli… Authority signals from domains AI already trusts Reinforces your brand name as something distinct, not generic Prevents your content from being cited without attribution The real lesson from John Mueller’s comment: Google isn’t saying “pick a clever name.” Google is saying: If your brand isn’t uniquely identifiable, search engines and AI systems have no reason to recognize you. And AI search has zero patience for ambiguity. If you want cheat codes for making sure your brand actually shows up inside ChatGPT, Perplexity and Google AI answers, RT this, follow me, and reply “AI SEO Cheat Codes.” You must do all three for the DM.

@alexgroberman Ai Seo Stuff

@OfficialLoganK @GoogleAIStudio Logan, am youngest tester . Please grant me access.

Big upgrade to vibe coding in @GoogleAIStudio lands in Jan, but if you want to test early… 👇🏻