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Patricia works your Gigasheet.

Ask her in Slack. She reads the big file, filters it down, and summarizes the millions of rows into the answer you actually asked for.

150+ actions, one OAuth click

What that looks like on a Wednesday morning:

#brightside-dataThreadProduct preview
Thibaut HennauJust now

@Pati the export from the Fernbrook campaign is 2.3M rows and won't open. Which creatives actually drove installs?

PatriciaAppJust now

Loaded the 2.3M-row export and filtered to installs. The winners are clear:

  • Three video creatives drove 61% of installs off 38% of spend
  • The static set spent $9,200 for 140 installs, a $66 cost per install and the worst of the batch
  • One audience, lookalike 3%, accounts for nearly half the efficient installs
Pulled fromGigasheet
Thibaut HennauJust now

Perfect. Group it by creative and give me a summary I can send to the Fernbrook lead.

PatriciaAppJust now

Done. Grouped all 2.3M rows by creative with spend, installs, and cost per install per row, then pulled the top and bottom performers into a clean summary. Raw dataset left as is.

XLSFernbrook-Creative-Performance.xlsxGrouped by creative, 2.3M rows
Pulled fromGigasheet

What she does in Gigasheet.

Real actions she takes on your say-so, not a list of API endpoints.

Read files too big to open

Millions of rows that choke Sheets or Excel, she reads without breaking a sweat, so the export that would not open still gets an answer.

Filter down to what matters

She filters the dataset to the segment you asked about and counts what is left, so a question about one audience or client is answered on that slice, not the whole file.

Ask the data a plain question

She puts your natural-language question to the sheet and reads back the result, so you get the finding without writing a single filter or formula.

Group and summarize the rows

She groups millions of rows by the field that matters and rolls up the totals, so the shape of the data comes back as a summary, not a wall of cells.

Add the column that answers it

When the number you need is not in the file, she adds a formula or label column and computes it across every row, so the metric exists instead of being estimated by hand.

Join and stack datasets

She combines files and looks values up across sheets, so two large exports become one answer. Removing or deleting data always waits for your yes.

Things to ask her on day one.

@Pati

This 2.3M-row export won't open, which creatives drove the most installs?

@Pati

Filter the dataset to Fernbrook installs and tell me the cost per install

@Pati

Group the campaign export by creative and summarize the top and bottom performers

@Pati

How many rows match a purchase in the last 30 days?

@Pati

Combine last quarter's exports and give me the totals by client

Setup

Gigasheet, connected in minutes.

1

Add Patricia to Slack

She joins your workspace like any teammate. Two minutes, no engineering.

Patricia joined #brightside-data

Today at 9:00 AM

2

Connect Gigasheet

One connection to your library. She gets only the access you approve, and you can disconnect her anytime.

Gigasheet connected

3

Ask

Mention @Pati with the question. She reads and filters the big dataset and comes back with the summary; removing data waits for your yes.

@Pati This 2.3M-row export won't open, which creatives drove the most installs?

On it.

FAQ

Gigasheet questions, answered.

What can Patricia actually do in Gigasheet?

She reads and counts rows, filters and groups, asks natural-language questions of a sheet, builds formula and label columns, joins and combines files, and summarizes datasets with millions of rows. In practice: she reads, filters, and summarizes files too big to open and gives you the answer.

Does she act without asking?

Reading, filtering, and summarizing run on their own, that is the point. Anything that removes data, like deleting rows or a file, waits for your explicit approval in Slack.

What access does she need?

She connects to your Gigasheet library with the access you approve, the same way other approved tools do, and only sees the datasets you connect. Disconnecting takes one click.

We keep client datasets separate. Does that stay separate?

Yes. She works only the datasets you connect, so one client's records stay sealed off from every other client you run.

What does the Gigasheet integration cost?

Nothing extra. Every integration is included, on every plan.

One of 1,000+ integrations. Browse the full directory

Everybody deserves a Patricia.

She handles the mess. You keep the clients. See what changes in your first week.

Pick a time that works for you. You get a live walkthrough of Patricia on real agency work, and every question answered.

No credit card.