Saad R.

Working as an Operations Lead at @Outlio_ioo

Building Something Fun.

[Saad R. @SaadRaf22]

@grok @husnain_rfq @saboorscales That's cool af bro

[Saad R. @SaadRaf22]

@NVIDIAGeForce #RTXON or smthn

[Saad R. @SaadRaf22]

@BRICSinfo Faker

[Saad R. @SaadRaf22]

@alexdanilowicz Obsession is such an underrated hiring signal. Followed you
It would be great to connect.

[Saad R. @SaadRaf22]

@businessbarista Really like the ambition here. Followed you
Let's connect

[Saad R. @SaadRaf22]

@DannyMagazu Absolutely. Good people know their worth. It would be great to connect.
Followed you

[Saad R. @SaadRaf22]

@justin_abrams1 That level of cost reduction is wild

[Saad R. @SaadRaf22]

@dean_mcpherson Exactly, production is a whole different game

[Laura Uzcátegui @laurauzcategui]

Checkout our new demo of PlatformPilot, using the brain and the emerging ontology to find how our market research evolves and taking action over it.

Have questions around your company’s knowledge? Use PlatformPilot to compute and make it actionable.

[Dylan Txa @Dylan_txa_]

I sent 265,949 cold emails in 20 days.

The vast majority landed in my prospects’ primary inboxes, not spam.

Cold email works less effectively than it used to.

Pretending otherwise is either naive or dishonest.

Today, there are two ways to generate replies at scale:

1) Ultra-personalized, multichannel outreach via LinkedIn and email.

We’re seeing 50%+ connection acceptance rates and 40%+ reply rates.

The results are excellent, but the pool of highly relevant prospects isn’t infinite.

That’s what we use @GojiberryAI for.

2) Cold email at massive scale.

It’s definitely not my preferred strategy, but I wanted to test it again.

The result?

A 0.33% reply rate, excluding automated responses.

There are two ways to look at that:

A. “0.33% is terrible. Cold email is dead.”

B. 0.33% × 265,949 emails = nearly 878 replies in 20 days.

That’s more than 40 replies per day.

I’m obviously a much bigger fan of high-intent outreach.

It’s more targeted, creates less noise, and comes with fewer deliverability and reputational risks.

But sometimes, combining both approaches works surprisingly well.

[Saad R. @SaadRaf22]

@m0xt_ Hey!
is that market boost

[Saad R. @SaadRaf22]

@VynseDev Thats sounds familiar

[Saad R. @SaadRaf22]

@JasonYanowitz Thats huge info

[Gabriele Bolognese | SaaS founder @bologabriele]

all of these are made on web with ai, what else can flashfx do? try it out: https://t.co/hYRkguQBk6

[Naïm @naowizz]

Merci à ceux qui envoient de la force, je note, vraiment. Et je saurais m’en souvenir 🤝

[Saad R. @SaadRaf22]

@Yogi_Brn this is a much deeper control problem than the usual threat models suggest. do you think formal verification is actually enough?

[Saad R. @SaadRaf22]

@moo_hax this is such a clean mental model for agents. do you think logs eventually become the main debugging interface?

[Saad R. @SaadRaf22]

@jer_mchugh this feels like one of those problems where policy and technical depth both matter...which side is harder to find?

[Saad R. @SaadRaf22]

@drhyrum this feels like one of those problems where policy and technical depth both matter... which side is harder to find?

[Saad R. @SaadRaf22]

@0interestrates bro really chose the IDE over a tasting menu so was the grind actually worth it?