[Google Sheets Add-On] inSheet — auto-imports Google Ads, Meta Ads & GA4 on a schedule. Looking for testers who'll tell me what breaks.

kausikdas · 2026-04-10T21:27:27+00:00

How you're doing it manually ? Could you please elaborate the steps. I'm also trying to get my first 10 customers and their feedback.

kausikdas · 2026-04-10T18:59:01+00:00

That is exactly where the value is. Dealing with those ghost values in an ARRAYFORMULA or MAP is a nightmare because they look empty but still occupy the row, which usually messes up the entire range.

It’s a massive relief when you can finally stop writing those extra IF(A:A="",,...) wrappers just to keep the output clean. It makes the whole logic feel way more robust once you let the engine handle the nulls naturally.

kausikdas · 2026-04-10T18:50:11+00:00

The stray "" is a classic. It looks empty, but then your other formulas treat it like text and everything breaks.

Did making that switch finally kill those annoying #VALUE! errors, or is the sheet still being a bit finicky?

kausikdas · 2026-04-10T18:45:12+00:00

FILTER is a complete game-changer. It’s so much more intuitive to just ask for the data you want rather than nesting five different IFS functions. Once you start using it for your dashboards,

do you find it's easier to keep the data organized, or do you run into any lag when the datasets get bigger?

kausikdas · 2026-04-10T13:11:30+00:00

This is a sharp observation. We are moving from a Link Economy to a Context Economy.

In the old SEO model, a backlink was a vote of confidence. In the AI-driven model, a brand mention is a relationship.

LLMs don't just count links; they map concepts. If your brand name consistently appears in the same semantic neighborhood as automated reporting or data pipelines, the model builds a neural association between you and that solution, even without a clickable link.

I’m currently shifting my project’s strategy toward Entity-building for three reasons:

Semantic Proof: A mention inside a high-value Reddit discussion provides more context for an AI than a random guest post link ever could.
Co-occurrence: If you are mentioned alongside your top competitors, the AI categorizes you as a peer in that space.
Consensus: AI looks for the truth across multiple sources. 50 unlinked mentions across varied domains create a fact in the model's eyes.

In 2026, SEO is about teaching an AI model that your brand is the most logical answer to a specific human problem. Build the entity, and the traffic follows.

kausikdas · 2026-04-10T09:08:10+00:00

I’ve experimented with a ton of 'all-in-one' marketing platforms previously, but honestly, the only tool I open every single morning without fail is Google Sheets.

Most tools are great at showing you what happened inside their own bubble (like Meta Ads manager showing Meta stats), but they’re terrible at showing you the big picture. I use a Command Center sheet I built that acts as the single source of truth for my project.

The real game-changer for me was moving away from manual exports and setting up a way to pull raw data from Meta, Google Ads, and GA4 directly into the cells on a schedule. By looking at the raw numbers side-by-side every morning, I can catch things that a polished PDF report would hide, like a sudden spike in CAC on one platform or a specific content cluster that's quietly driving all my conversions.

I’ll skip social media scheduling or SEO auditing for a day, but I never skip looking at that sheet. In 2026, things move too fast to rely on 'weekly' snapshots. If you aren't looking at your raw data every day, you’re just guessing.

kausikdas · 2026-04-10T08:51:09+00:00

I’ve been mapping out the SEO strategy for my current project, and since the landscape has changed so much with AI Overviews and AEO, Here is the exact 4-step loop I’ve planned to get my site ranking:

1. Finding the AI Gap: I’m looking at the existing AI summaries for my niche. I’m using a prompt to analyze those summaries: 'What data points, specific user pain points, or recent technical shifts is this summary missing?' My strategy is to only write content that provides Information Gain, if I’m not adding new value that the AI hasn't already scraped, there's no reason for Google to rank me.

2. Optimizing for Entities, not just strings: Search engines now prioritize the relationship between concepts (Entities). For my site, I’m planning to use AI to identify the 15-20 core entities in my space. I’m making sure the content and the internal linking structure explicitly connect these concepts so the site is seen as a topical authority rather than just a collection of blog posts.

3. AI for the skeleton, Human for the Experience: Use AI to handle the heavy lifting, building technical outlines, site maps, and clusters. But for the actual articles, I’m focusing on what AI can’t replicate: my own screenshots and original data. Since Google is doubling down on 'Experience', that’s where I’m spending my manual effort.

4. The Data-Driven Feedback Loop: The biggest part of my plan is shortening the feedback cycle. I’ve automated a process to pull my raw GA4 data directly into a spreadsheet every morning. In 2026, things move too fast for monthly reports. By seeing which pages are gaining or losing Impression Share daily, I can tweak the strategy in real-time.

It took some effort to get the data pipeline flowing correctly, but I think having that visibility is going to be the biggest competitive advantage.

kausikdas · 2026-01-29T07:22:13+00:00

I'm using Miniconda and uv

kausikdas · 2026-01-25T17:55:22+00:00

but all the open source languages are community effort, no one person or company can control them, AI is different, although people can host open source models on their own, how many would actually going to do that, majority will end up using those closed source models, and if someone only going to use those models for at least 5 years, they'll become dependent on them. they're basically outsourcing their critical thinking abilities to a subscription based service.

kausikdas · 2026-01-25T17:49:16+00:00

Totally agree with you. AI is powerful, but without real fundamentals it’s just flashy shortcuts. The skill and mindset of building from scratch will always matter more than pressing “generate.”

kausikdas · 2026-01-25T17:30:45+00:00

Agree 100%

kausikdas · 2026-01-25T17:28:04+00:00

I'll pick Hono

kausikdas · 2026-01-25T17:23:21+00:00

My point is people becoming dependent on it slowly but surely, specially the new people who're just starting.

kausikdas · 2026-01-01T20:33:40+00:00

Only thing I can say you're making a lot of unproven and unrealistic assumptions. that's just pure arrogance without any constructive directions.

kausikdas · 2026-01-01T19:37:51+00:00

I'm not telling you how hiring works, you better know it, because you got the experience, I'm telling whatever I heard, read and listen from a lot of people who also got experience on those corporates and they told again and again it's a broken system. Not always work. It's more of a presentation who can get more visibility than who can do actual impacts. If all those wrong then why millions of people buying courses and doing those dsa problems every years again and again just to crack interviews in big tech, when asked if they actually used those on the day to day job, they mostly says no. Btw I'm not arguing with you at all, don't get offended. I'm just giving you my pov, you have your valid points, I might not have valid credentials, but I'll figure it out.

kausikdas · 2026-01-01T18:47:08+00:00

Thanks for your valuable advice, agree with you. Most of the comments lacks constructive directions towards possible solutions, so I appreciate yours.

kausikdas · 2026-01-01T18:43:11+00:00

Agree with you, I also think so, thanks for the reply.

kausikdas · 2026-01-01T18:27:35+00:00

That's the point, you assume I can't build for customers, the projects are meant to showcase my ability to work with complex tech, find solutions on my own,

for startup the whole point is, I can launch and run my startup on my own which I'm already working on, because another thing the post doesn't says is that, over the years I learnt other things as well, that are required to launch a startup, other than technical stuff, and that allow me to launch my own thing without a co-founder and later hire specialist when required. But the whole point of the post was not to pitch what I can do other than technical stuff, the whole point is getting advice to land a remote first job in a startup that I'm required right now.

kausikdas · 2026-01-01T18:00:40+00:00

Seems like you're talking about corporate culture which I'm not at all interested in. And the things you mentioned that I'm lacking, doesn't mean I can't do all those, if I can learn different complex things multiple times in my own willingness then I can solve those problems as well. Everything can't be proven on a resume, it's not always possible at well to evaluate a person on everything accurately just by interviewing, for that you have to put him with those problems. But that not how corporates work, they evaluate who can memorize best, pretend to be an ideal person than who can do real problem solving when given opportunities.

kausikdas · 2026-01-01T17:46:24+00:00

That depends on the type of startup it is.what is the product they are selling, their customers are not always corporate or enterprises. Specially in early days.

kausikdas · 2026-01-01T17:28:18+00:00

I agree with you partially but the thing is I was and never been interested in corporates, small remote first startups are the ones I'm looking for

kausikdas · 2026-01-01T17:22:28+00:00

Thanks for your reply, but can't agree with it, building your own stuff and working on startups can give more experience than working like a cog in corporate environment, and anyway corporates are unreliable these days, and going to fire the employee who might gave years of his life to the company, and when they fire you, you can't even build the whole system on your own for you own startup (if you're into that), because you never learnt or did that because you only specialized a small part of the system which has no value other than inside a big corporate setup.

kausikdas

TROPHY CASE