Renewing ThoughtSpot because leaving feels like starting over?

You would not be starting over. Papercrane reads your liveboards, saved Answers, and models, runs your exact searches against them, and rebuilds each dashboard as code you own, checked against the rows ThoughtSpot returns today.

Run one search here

Connects in about a minute with your instance address and a login you approve. Free to connect and ask. Paid plans start when you publish a dashboard. See pricing →

The renewal doubt has three parts

Search needed specific words in specific ways.

The pitch was asking like a person. The practice was learning token grammar, and the people it was bought for mostly never did.

The good questions stall at 70 percent.

The first answer comes fast. The follow up that crosses a worksheet boundary, or needs a system ThoughtSpot does not hold, is where the search box stops.

The modeling bill came first.

Search only worked after your data team shaped worksheets for every use case. That investment is the real reason leaving feels impossible.

Here is what the dread misses: everything you taught ThoughtSpot is still there, and it still answers. Papercrane connects to it and asks.

Your searches still run here

In ThoughtSpot

the search your team saved

[revenue]

[region]

[order date].monthly last year

Region	Month	Revenue
AMER	Jun	$1.36M
AMER	Jul	$1.29M
EMEA	Jun	$940K
EMEA	Jul	$985K
APAC	Jun	$605K
APAC	Jul	$588K

Tokens in, rows out. Your models keep answering while the dashboards move.

In Papercrane

the same tokens, run through the connection

[revenue]

[region]

[order date].monthly last year

Region	Month	Revenue
AMER	Jun	$1.36M
AMER	Jul	$1.29M
EMEA	Jun	$940K
EMEA	Jul	$985K
APAC	Jun	$605K
APAC	Jul	$588K

Which of those regions dipped because ad spend moved? Pull Google Ads in.

Pulling Google Ads spend by region for AMER and APAC…

The connection runs your exact search tokens against the same models and gets the same rows back. Then the agent takes the follow up the search box could not: a full sentence, joined across every other source you connect.

Rebuilt from what ThoughtSpot returns, not from screenshots

STEP 1

Inventory the estate. It costs nothing.

Connect and ask what is actually in there: every liveboard, saved Answer, and model, and which ones still matter. Asking is free.

STEP 2

The agent rebuilds from live results.

It pulls the rows behind each visualization, reruns the searches behind each Answer, and rebuilds the dashboard as code you own, usually pointed at the same warehouse ThoughtSpot queries today.

STEP 3

Compare, then retire.

The liveboard is still sitting in ThoughtSpot. Put the rebuild next to it, check the numbers, and switch off only what already agrees.

ThoughtSpot liveboard

$1.36M

Papercrane rebuild

$1.36M

AMER revenue, June: the same number in both places.

Papercrane only reads your ThoughtSpot instance. Nothing in it is changed, moved, or deleted.

When a rebuilt dashboard breaks later, the error routes back to the agent, which fixes what it built.

Ask the questions that always died at a worksheet boundary

ThoughtSpot answers questions about the data inside ThoughtSpot. The agent joins those governed numbers with the rest of your stack and keeps going.

Liveboard revenue by region, next to ad spend by region

Saved Answer KPIs against invoices and payouts in Stripe

Search results blended with GA4 sessions and CRM pipeline

When you should renew instead

If thousands of people across your company genuinely self serve on a governed semantic layer with row level security, keep it. Nothing else, Papercrane included, matches ThoughtSpot's search at that scale, and the Spotter agents shipping through 2026 will make it better. Papercrane is for the team that builds and ships dashboards, not a search box for the whole company. If your renewal doubt is really an adoption success story, renew, and negotiate.