Linearloop is the fastest-growing next-gen software development company.
Joined October 2020
- Tweets 186
- Following 31
- Followers 24
- Likes 35
118 Photos and videos
Today, Team Linearloop is giving back in a way that truly matters. 🩸
Our Blood Donation Camp is happening this evening at @LinearloopHQ , Ahmedabad. One donation can save up to three lives.
Proud of everyone stepping up. ❤️
#Linearloop #BloodDonation #GivingBack #Ahmedabad
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This one was all them.
The effort, the energy, the little handmade details. Our team put their whole heart into World Environment Day this year and it showed in every moment.
Proud doesn't cover it.
Hold The Green. 🌿
#worldenvironmentday2026 #environment #sustainability
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Hold The Green.
The things worth keeping don't ask for attention. They just need us not to look away.
We build, ship, move fast. But somewhere in that, we try not to forget what all of it stands on.
This is us remembering. 🌱 World Environment Day 2026
#WorldEnvironmentDay
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There's a version of Linearloop three years from now that looks very different from today.
The people joining now are the reason why.
#Linearloop #TeamLinearloop
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Most CRO efforts fail because engineering is missing. Design tweaks can’t fix system-level issues. Real optimisation needs control over the system.
Swipe to see what’s missing →
#cro #engineering
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You can increase conversion rate and still hurt revenue.
More signups, more clicks, and more form fills, but nothing compounds downstream.
That's not growth. That's optimising behaviour.
If that feels familiar, check the full breakdown here: shorturl.at/B6KUY
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Running A/B tests isn't the same as running good A/B tests.
Small samples. Early peeks. Tests that run until they "win."
You're not making data-driven decisions. You're making decisions and finding data to justify them.
Fix the methodology.
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Most lead forms don't fail because of bad design.
They fail because of bad questions.
If a field doesn't impact routing, qualification, or prioritisation, it shouldn't exist.
Click the link to read the full blog: tr.ee/hrqFS8
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Embedded checkout feels like the obvious choice until scale hits, geographies expand, and compliance changes.
What's easy today becomes the bottleneck tomorrow.
Checkout is an architecture decision. Choose wisely.
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The highest-intent page on your site is probably the one you're most afraid to touch.
Demo forms are tangled into CRMs, routing logic, and SDR workflows.
So, teams leave it alone. That's the mistake.
Full breakdown here: tr.ee/P3dfrO
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Every unprotected model call is a potential data leak.
Minimal access controls around model inputs, outputs, and data aren't a gap. It's a liability.
→ RBAC
→ Encryption
→ Audit trails
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Conversion rate is misleading without funnel-level tracking.
Page-level wins can hide funnel losses.
Attribution gaps weak event tracking = false A/B insights.
CRO is a system problem.
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Most CRO teams pick between UX and personalisation.
That's the wrong question.
Both are just tactics. Without a system connecting behaviour, experimentation, and execution, nothing compounds.
Full breakdown: tr.ee/aEGx4h
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Most outages aren’t caused by bad code. They’re caused by bad deployments.
Your deployment strategy defines reliability.
Swipe the carousel to know the key strategies every DevOps engineer should use.
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Last weekend, we didn't hit a milestone. We did something better.
The Linearloop team went to Udaipur. No calls, no sprints, just people who build together, being together.
That's the culture we're building.
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Your SaaS product is generating all the data you need.
You're just getting it too late.
Dashboards and weekly exports don't drive decisions. Real-time event pipelines do.
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The "10x engineer" is a myth.
Productivity isn't about one brilliant individual. It's about the system they operate in.
Bad architecture slow pipelines = your best engineers fighting the system
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Most AI projects don't fail because the model is bad.
They fail because the data stack wasn't built for production.
A demo and a production AI system are two different things.
Read the full blog here: tr.ee/ZWrD67
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Kubernetes isn’t always the answer.
It solves real scaling and orchestration problems, but adds operational complexity.
Before migrating from traditional infra, ask: Do you truly need container orchestration at scale?
Swipe the carousel to break it down.
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