Joined November 2010
- Tweets 8,724
- Following 359
- Followers 1,762
- Likes 1,824
5,091 Photos and videos
A 4.2 rating can mean minor shipping issues or half our customers are leaving.
Same number. Opposite problem.
The answer is in the words, not the score.
Read more here ๐ shorturl.at/jTQOt
#CustomerExperience #SentimentAnalysis
12
Jun 11
Lost a sale and found out why a week later?
Often it's pricing. A competitor drops their price Monday, you hear about it Friday.
๐ท๏ธ Check prices daily
๐ Match messy product names
๐ Cover every product
Know more here ๐ shorturl.at/GRKCq
#PricingIntelligence
10
Jun 9
How much of your week goes into keeping scrapers alive?
For most data teams: too much.
๐ง Always "just fixing it this week"
๐ Same sites break again
๐ฎโ๐จ Top engineers on repair duty
There's a simpler way ๐ shorturl.at/deYzy
#DataEngineering #WebScraping
8
Jun 8
Building your own scraper looks cheap.
Then come the costs nobody put on the slide:
๐ ๏ธ Engineers stuck on maintenance
๐ธ Cloud bills that keep growing
๐ A compliance review a year in
The honest math ๐ shorturl.at/h2lkz
#BuildVsBuy #DataEngineering
1
12
Jun 4
What does a web data company actually do?
๐ You pick the data you want
๐งน We collect and clean it
๐
You get it on schedule, ready to use
No scrapers to maintain. Know more here ๐ shorturl.at/HVmsO
#WebData #DataAsAService
1
12
Jun 3
Do you know how web scraping actually works?
๐ A program visits web pages
๐ Grabs the info you need
๐ฆ Hands it back in a clean table
That's the whole idea. Learn more here ๐ shorturl.at/QWAFm
#WebScraping #WebData
30
Jun 1
Enterprise web data purchases almost always stall at the same point.
Not technical review. Not internal alignment. The pricing conversation nobody started early enough.
The scoping conversation should come first, not after the evaluation is done.
shorturl.at/UtgyM
16
May 29
Getting web data off the internet is solved.
Turning it into something a business can act on is where the next eighteen months go.
Ten challenges. In the order they surface. With what it takes to get past each one.
shorturl.at/HUcCI
#DataEngineering #WebData
17
May 28
The build vs buy spreadsheet always looks clean on slide four.
Then the project starts.
Two engineers become four. The cloud bill scales with every source.
The honest comparison is at month eighteen, not day one.
shorturl.at/myCvC
#DataEngineering #BuildVsBuy
9
May 27
Over 100 million real estate data points updated daily across the US alone.
Most teams are reading a fraction of that. Not because the data doesn't exist. Because the pipeline to collect, deduplicate and deliver it doesn't either.
shorturl.at/PPiJw
#PropTech #RealEstate
7
May 26
Companies announce strategy in press releases. Then post their actual strategy on job boards.
Roles, locations, skills, freezes, surges. All forward looking signals sitting in public, unannounced, for anyone running the right data layer to read.
shorturl.at/VwsHZ
15
May 25
Pricing teams don't lose to competitors who price better. They lose to competitors who see the shelf first.
How?
The strategy is fine. The visibility layer underneath is the problem.
shorturl.at/bXQ34
#PricingStrategy #CompetitiveIntelligence
10
May 22
The scraper you tested yesterday is not the same scraper today.
The site shipped an A/B test overnight. Your job logged success. Your data has a 40% gap.
This is the silent failure mode that defines production scraping.
shorturl.at/B0Aju
#DataEngineering #WebScraping
30
May 21
Alternative data is no longer alternative.
The edge moved from having the data to operating the pipeline.
Latency, coverage depth, reliability under load. That's where alpha now lives.
shorturl.at/pmbtI
#AlternativeData #QuantitativeFinance
17
May 20
Most teams think they know what their scraping infrastructure costs.
They're usually off by 2โ3ร.
We built a calculator that takes 5 inputs from your setup and shows you the real annual number.
Only one way to find out.
๐ shorturl.at/KyztX
#BuildVsBuy #ROI #Calculator
8
May 18
"Web scraping tools" and "web data as a service" sit on the same shelf in procurement decks.
They are not the same product.
One is the software you operate. One is data you consume.
The cost difference over 18 months is usually the bigger story.
shorturl.at/CBzZx
18
May 13
Pricing teams think they have a pricing problem. CX teams think they have a review problem. AI teams think they have a model problem.
They all have the same problem: web data infrastructure.
The layer underneath all of it: shorturl.at/zYVVH
#WebData #DataInfrastructure
16
May 12
The most honest strategy doc a company publishes isn't the press release.
It's the job description.
Roles, locations, skills, freezes, surges - all forward-looking signals you can't fake.
shorturl.at/W1ctI
#TalentIntelligence #WorkforceStrategy
10
May 11
A team spent 14 months building scraping infra in-house.
$260K /year and the data still broke when sites changed.
So we built a calculator that shows the real cost of DIY vs managed.
5 inputs. Real-time output. Clear math.
Try it here: shorturl.at/KyztX
#BuildVsBuy
11
May 8
A 4.2 rating can mean "great product, shipping issue" or "broken for half the market."
Same number. Opposite decision.
The signal isn't in the rating. It's in the language at scale.
shorturl.at/AdBlp
#CustomerExperience #VoiceOfCustomer #SentimentAnalysis
17