Orange Slice
Automate any sales task with AI
957 followers
Automate any sales task with AI
957 followers
Build any Go-To-Market workflow you can think of through natural language.
Write in plain english who your perfect customers are -- find people that fit that criteria.
From listening to reddit if people mention the problem you solve to having AI sort and qualify your inbound and sending you slack message when a perfect customer signs up to your product!!!
This is the 2nd launch from Orange Slice. View more
Orange Slice
Launched this week
Build go-to-market workflows with AI. Prospect, enrich, qualify, and automate GTM execution in Orange Slice.
Free
Launch Team / Built With
Jots
Congratulations on the launch. Are you listening to other sources than reddit?
Orange Slice
@avz We can listen to any publicly available website. We can listen to Reddit, Instagram, X, LinkedIn, Facebook for social listening, but we can also listen to government websites like SEC filings, anything you can think of. Your imagination is the limit for what you want to listen to.
FuseBase
Congrats on the launch @vihaar_nandigala I believe the timing angle is underrated in GTM - most tools optimize for volume, not relevance.
How are you defining “in-market”? Is it behavioral signals, firmographic triggers, or something else?
Orange Slice
@kate_ramakaieva Thanks Kate 🙏
The core idea behind Orange Slice is that “in-market” isn’t one-size-fits-all — especially in GTM.
We let you define what that actually means for your business.
That said, here’s how we think about it internally:
1. Behavioral intent signals
Things that show someone is actively evaluating: hiring for roles tied to your use case, competitor comparisons, stack changes, launch posts, complaint/replacement language, etc.
2. Firmographic guardrails
ICP filters (size, industry, geo, tech stack, motion maturity) so you don’t chase noisy but irrelevant signals.
3. Recency + velocity
When the signal happened + whether multiple signals cluster together
(timing > static fit)
ZeroHuman.
Congrats on the launch @vihaar_nandigala !
When you say "automate any sales task," what's the most repetitive sales workflow your beta customers have fully offloaded to the agent?
And on the flipside, what's the sales task that still needs a human in the loop today?
Orange Slice
@byalexai Here are some examples of both!!!
Most fully offloaded workflow: building and refreshing outbound target lists end-to-end (researching ICP-fit accounts, enriching contacts, writing personalized first-touch drafts, and pushing everything into the team’s CRM/sheet automatically).
Still human-in-the-loop: final strategy and judgment calls — especially messaging for high-value accounts, objection handling, and negotiations.”
Inrō
Hi, a few questions -
1. How does the pricing work? If it's credits-based/usage-based, then how do you define that exactly?
2. How accurate is the data + how recent? What sort of data providers do you use? Especially intent signals are notoriously inaccurate for "things like people with 4 fingers as you say in YC demo" haha
3. How does it handle vague/intent based queries instead of traditional filter style queries? If I say something non-filter style like "find me users who are on the lookout for Instagram marketing automation tools"
Orange Slice
@kshitij11 I love these questions keep them coming. I can tell you actually looked at the product and thought about them thank you so much!!!!!! <3
1. Pricing (credits-based)
Credits map directly to data usage.
For example:
• enriching a company = small credit cost
• running deeper research (scraping, AI analysis) = higher cost
Before you run anything, we show the estimated cost — so it’s predictable, not a black box
We also show pricing for individual actions (e.g. tech stack lookup, custom scrape) directly in the UI.
2. Data accuracy + recency
Two parts here:
• Structured data → comes from providers like Crunchbase, BuiltWith, etc.
• Unstructured / intent data → pulled live (web, social, etc.) at query time
So instead of relying only on static databases, we’re constantly refreshing data based on what’s happening right now.
We also cross-check across multiple sources (up to 20–30 in a single workflow) to improve reliability.
3. Handling vague / intent-based queries
This is where the agent really shines.
If you say:
“find people looking for Instagram marketing automation tools”
we don’t just apply filters — we:
• search for real conversations (posts, forums, social)
• detect pain signals + intent language
• enrich those users/companies
• rank them by relevance
So it behaves more like a researcher than a filter builder.
TLDR:
most tools = static filters on static data
Orange Slice = dynamic search + reasoning on live data
Inrō
Orange Slice
@vihaar_nandigala @kshitij11 We're much more affordable than clay. In some use cases, on average, we generally tend to be 50% less than clay on average usage, mostly because we don't charge for actions and API calls, and also our plans are a lot more generous and flexible. Our cheapest plan starts at $20/month, and then we scale. You can also buy overages as one-time credit top-ups, and our credits all of them roll over; they don't disappear every month. Because of all these reasons, we end up becoming about 50% more affordable than clay. Also, don't gatekeep features behind certain plans so you can connect your CRM APIs all for free through the $20/month plan as well.
UXPin Merge
Love this direction. Pulling in real-time signals from across the web instead of static lists makes a lot of sense. What sources have been the most useful so far?
Orange Slice
@uxpinjack Honestly, Google is surprisingly the most useful GTM tool we've seen that's still underutilized. People often rely on big static databases like Zoom Info or Apollo, which is great for things like contact information, but for general data Google is kind of the king. Automating and doing that at scale is just something sales people aren't doing right now that we want to help out with.
Interesting take @vihaar
Feels like the hardest part here is actually figuring out who’s really in-market, not just matching filters
Curious how you’re handling that?
Orange Slice
@munevver_ertuncccc The beauty of Orange Slice is how adjustable it is. You can set it up by tracking any signal to see if someone's in market.
We believe sales are not a one-size-fits-all sort of solution where each company should have to do something specific for them.
In-market can mean a lot of different things for different companies. We don't just match filters.
We can scrape for any information that you need, and each company or each user can create their own definition of in-market on Orange Slice. That's the beauty of the product.
@vihaar That flexibility actually makes a lot of sense, defining “in-market” differently per company feels much more realistic than fixed filters.
Feels like the real advantage then is how well you can identify and combine the right signals.
I wish they hadn't revealed this. This has been my secret weapon in finding the best targets for my company. I've built out some workflows that as SUPER niche and i swear OrangeSlice hasnt missed yet. 🥶
Orange Slice
@mark_dusseau Thanks Mark has been such a pleasure working with you. Your one of our most creative users as well!