Build go-to-market workflows with AI. Prospect, enrich, qualify, and automate GTM execution in Orange Slice.
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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. 🥶
@favour_yusuf1 We started as a go-to-market agency, so we totally feel your pain. We need this exact tool for it. Let me know how we can make the product better. Happy to send over some free test credits as well, but what are some of the GTM plays you're running for your two clients?
@kohnigel We believe that the table interface is the best way to display data in sales since you want to be able to skim through large amounts of data for a sanity check (i.e. job titles, revenue ranges, linkedIn urls etc.).
Also, if an enrichment were to fail on a specific run, with the table interface, you have direct visibility into all cells and can rerun them individually if necessary.
Of course, the main editor of the table is still the chat so I wouldn't separate us entirely off of a pure chat-based interface. The table is more of a scratch pad for the chat and for you when you're using the product.
@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.
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@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.
Congrats on the launch! Plain English ICP descriptions to a qualified lead list is a really clean workflow, no more Boolean wrangling. Curious how the system handles edge cases when the criteria gets really fuzzy?
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this is actually pretty good sent it to my sales friend already — feels useful for quick lead follow-ups
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The workflow is good!!!! Just very curious how to handle false positives on the Reddit signal.
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Can you do the same thing as for Reddit, but for LinkedIn instead? People there are more often looking for professional services, so for B2B companies, analyzing LinkedIn posts would be much more interesting.
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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!
This is brilliant.
Currently running GTM for two clients, and despite a lot of efforts, it still feels kinda janky.
Rooting for you guys!
Orange Slice
@favour_yusuf1 We started as a go-to-market agency, so we totally feel your pain. We need this exact tool for it. Let me know how we can make the product better. Happy to send over some free test credits as well, but what are some of the GTM plays you're running for your two clients?
Coworker AI
love the table interface. what was the decision around that vs chat-based?
Orange Slice
@kohnigel it is chat first! the table is there to help you quickly see all your leads and visualize the flow of data in one place!
Coworker AI
@kishan_sripada1 got it, will check out, thanks!
Orange Slice
@kohnigel We believe that the table interface is the best way to display data in sales since you want to be able to skim through large amounts of data for a sanity check (i.e. job titles, revenue ranges, linkedIn urls etc.).
Also, if an enrichment were to fail on a specific run, with the table interface, you have direct visibility into all cells and can rerun them individually if necessary.
Of course, the main editor of the table is still the chat so I wouldn't separate us entirely off of a pure chat-based interface. The table is more of a scratch pad for the chat and for you when you're using the product.
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.
Cue
Congrats on the launch! Plain English ICP descriptions to a qualified lead list is a really clean workflow, no more Boolean wrangling. Curious how the system handles edge cases when the criteria gets really fuzzy?
this is actually pretty good
sent it to my sales friend already — feels useful for quick lead follow-ups
Can you do the same thing as for Reddit, but for LinkedIn instead? People there are more often looking for professional services, so for B2B companies, analyzing LinkedIn posts would be much more interesting.